Rotating Electrical Machine Management System
The rotating electrical machine management system tracks residual breakdown voltage changes by calculating past, current, and future values, facilitating proactive maintenance and reducing insulation breakdown risks.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- TOSHIBA ENERGY SYST & SOLUTIONS CORP
- Filing Date
- 2026-03-17
- Publication Date
- 2026-05-19
AI Technical Summary
Conventional methods struggle to accurately track changes in residual breakdown voltage of insulating materials in rotating electrical machines over time, particularly due to fluctuations in power generation from renewable energy sources.
A rotating electrical machine management system that calculates past, current, and future residual breakdown voltage information using a relational data storage unit, maximum discharge charge amount calculation, dielectric breakdown strength calculation, and residual breakdown voltage-related information generation, enabling accurate tracking without stopping the machine.
Enables easy and accurate monitoring of insulating member degradation, allowing for timely maintenance planning and reducing the risk of insulation breakdown.
Smart Images

Figure 2026083426000001_ABST
Abstract
Description
Technical Field
[0001] Embodiments relate to a rotating electrical machine management system.
Background Art
[0002] A rotating electrical machine used as a generator or the like includes a stator and a rotor, and is configured such that the rotor rotates during operation. In a rotating electrical machine, for example, a stator coil is accommodated in a stator slot formed in a stator core via an insulating member, and deterioration of the insulating member or the like progresses due to the operation of the rotating electrical machine.
[0003] Specifically, in the insulating member of the stator, electrical deterioration, thermal deterioration, and mechanical deterioration occur. Electrical deterioration occurs due to electrical stress caused by high voltage, and thermal deterioration occurs due to joule loss. Mechanical deterioration occurs due to electromagnetic vibration and thermal cycles due to load fluctuations. As the electrical deterioration, thermal deterioration, and mechanical deterioration progress, the insulating property of the insulating member decreases, and the possibility of insulation breakdown increases.
[0004] In recent years, in order to reduce carbon dioxide emissions, power generation using renewable energy has been promoted. In power generation using renewable energy, the amount of power generation varies greatly depending on the weather and the like. For this reason, in order to compensate for unstable power supply due to power generation using renewable energy, in power generation facilities such as thermal power generation, adjustment operation for adjusting the load is often executed instead of operation centered on the rated load. As a result, in a rotating electrical machine, deterioration of the insulating member constituting the stator has been likely to progress.
[0005] For this reason, techniques such as performing insulation diagnosis by obtaining the remaining breakdown voltage of the insulating member constituting the stator of a rotating electrical machine through a breakdown test or a non-destructive test have been proposed.
Prior Art Documents
Patent Documents
[0006]
Patent Document 1
[0007] However, conventionally, it has been difficult to accurately grasp the changes over time in information regarding the residual breakdown voltage of insulating materials constituting the stator of a rotating electric machine.
[0008] Therefore, the problem that the present invention aims to solve is to provide a rotating electric machine management system that can easily and accurately grasp the changes over time in information regarding the residual breakdown voltage of insulating members constituting the stator of a rotating electric machine. [Means for solving the problem]
[0009] The embodiment is a rotating electric machine management system for managing residual breakdown voltage-related information regarding the residual breakdown voltage of an insulating member, for a rotating electric machine comprising a rotor and a stator in which stator coils are housed in stator slots formed in a stator core via insulating members. The rotating electric machine management system comprises a residual breakdown voltage-related information generation unit configured to calculate past residual breakdown voltage-related information regarding past residual breakdown voltages, current residual breakdown voltage-related information regarding the current residual breakdown voltage, and future residual breakdown voltage-related information regarding future residual breakdown voltages as residual breakdown voltage-related information, and an image data generation unit configured to generate image data showing the past residual breakdown voltage-related information, the current residual breakdown voltage-related information, and the future residual breakdown voltage-related information. The residual breakdown voltage-related information generation unit includes: a relational data storage unit that stores in advance the relationship between the dielectric breakdown strength of the insulating member and the maximum discharge charge amount measured in the rotating electric machine as relational data; a maximum discharge charge amount calculation unit that calculates the maximum discharge charge amount and outputs it as maximum discharge charge amount data by analyzing the partial discharge signal actually obtained from the rotating electric machine when the rotating electric machine is in operation; a dielectric breakdown strength calculation unit that calculates the dielectric breakdown strength corresponding to the maximum discharge charge amount data output by the maximum discharge charge amount calculation unit based on the relational data stored in the relational data storage unit and outputs it as dielectric breakdown strength data; a dielectric breakdown strength storage unit that stores the dielectric breakdown strength data output by the dielectric breakdown strength calculation unit in association with acquisition time data relating to the time when the partial discharge signal was obtained; and a residual breakdown voltage-related information calculation unit that calculates the past residual breakdown voltage-related information and the current residual breakdown voltage-related information based on the dielectric breakdown strength data stored in the dielectric breakdown strength storage unit in association with the acquisition time data.The residual breakdown voltage-related information calculation unit includes a residual breakdown voltage reduction coefficient storage unit that stores a residual breakdown voltage reduction coefficient as residual breakdown voltage reduction coefficient data, which indicates the rate at which the residual breakdown voltage decreases according to operating condition information relating to the operating conditions of the rotating electric machine, and a residual breakdown voltage reduction amount calculation unit that outputs residual breakdown voltage reduction amount data as residual breakdown voltage reduction amount data, based on the residual breakdown voltage reduction coefficient data stored in the residual breakdown voltage reduction coefficient storage unit, and the residual breakdown voltage-related information calculation unit is configured to obtain the future residual breakdown voltage-related information based on the residual breakdown voltage reduction amount data output by the residual breakdown voltage reduction amount calculation unit. The operating plan information includes the number of starts and stops performed annually for the operation of the rotating electric machine, and the annual load fluctuation pattern ratio, which is the rate at which a load fluctuation pattern is performed annually with respect to the rated output value at which the power value output by the rotating electric machine during operation changes. [Brief explanation of the drawing]
[0010] [Figure 1] Figure 1 is a schematic diagram showing an example of a rotating electric machine 10 that is managed by the rotating electric machine management system in the first embodiment. [Figure 2] Figure 2 is a cross-sectional view showing an enlarged cross-section of the stator 40 in the first embodiment. [Figure 3] Figure 3 is a schematic block diagram showing the configuration of the rotating electric machine management system 700 according to the first embodiment. [Figure 4] Figure 4 is a functional block diagram showing the main functions of the rotating electric machine management system 700 according to the first embodiment. [Figure 5A] Figure 5A is a flowchart showing the operation of the rotating electric machine management system 700 according to the first embodiment. [Figure 5B] Figure 5B is a schematic diagram showing an example of the contents of image data D900 in the rotating electric machine management system 700 according to the first embodiment. [Figure 6]FIG. 6 is a diagram schematically showing an example of the content of image data D900 in the rotating electric machine management system 700 according to a modification of the first embodiment. [Figure 7] FIG. 7 is a functional block diagram showing a main part of the functions of the rotating electric machine management system 700 according to the second embodiment. [Figure 8A] FIG. 8A is a flowchart showing the operation of the rotating electric machine management system 700 according to the second embodiment. [Figure 8B] FIG. 8B is a diagram schematically showing an example of an input operation image used when inputting (ST110) the operation plan information D701 in the rotating electric machine management system 700 according to the second embodiment. [Figure 8C] FIG. 8C is a diagram schematically showing an example of the content of image data D900 in the rotating electric machine management system 700 according to the second embodiment. [Figure 9] FIG. 9 is a diagram schematically showing an example of the content of image data D900 in the rotating electric machine management system 700 according to a modification of the second embodiment. [Embodiments for Carrying Out the Invention]
[0011] [First Embodiment] [A] Rotating Electric Machine 10 Before describing the rotating electric machine management system of the present embodiment, the rotating electric machine 10 that is the management target of the rotating electric machine management system will be described.
[0012] FIG. 1 is a diagram schematically showing an example of the rotating electric machine 10 that is the management target of the rotating electric machine management system in the first embodiment.
[0013] As shown in FIG. 1, in the rotating electric machine 10, the rotor 20 and the stator 40 are housed in the rotating electric machine casing 60. The rotating electric machine 10 is, for example, an inner rotor type generator, and is configured to generate electricity by rotating the rotor 20 inside the stator 40.
[0014] [A-1] Rotor 20 Specifically, the rotor 20 is installed such that the axial direction along the rotation axis AX is along the horizontal direction x. Here, the rotor 20 has a cylindrical rotor core 200 provided coaxially with the rotation shaft 201. Although not shown, the rotor core 200 has rotor slots formed therein, and rotor coils and the like are accommodated in the rotor slots.
[0015] [A-2] Stator 40 The stator 40 has a stator coil 42 installed on the stator core 41. The stator core 41 is cylindrical and is provided coaxially with the rotation shaft 201. The stator core 41 is installed so as to surround the rotor core 200 via a cylindrical gap AG.
[0016] FIG. 2 is a cross-sectional view showing an enlarged cross-section of the stator 40 in the first embodiment. In FIG. 2, a part of the plane orthogonal to the axial direction of the rotation axis AX is shown.
[0017] In the stator 40, the stator core 41 has stator slots KS formed therein. The stator slots KS are grooves recessed in the radial direction of the rotation axis AX and are formed in a portion of the stator core 41 located on the inner peripheral side IN. Here, the stator slots KS extend in the axial direction of the rotation axis AX. Although not shown, a plurality of stator slots KS are provided so as to be arranged at intervals in the circumferential direction of the rotation axis AX.
[0018] In the stator core 41, the stator coil 42 is accommodated in the stator slots KS. The stator coil 42 is constituted, for example, by integrating a plurality of strands (not shown). In the stator slots KS, an insulating member 421 is interposed between the stator core 41 and the stator coil 42. The insulating member 421 is constituted, for example, by winding an insulating tape such as mica tape around the stator coil 42.
[0019] A stator wedge 43 is installed on the inner circumference IN side of the stator coil 42, and the stator coil 42 is fixed to the stator slot KS by the stator wedge 43.
[0020] [B] Configuration of the Rotating Electric Machine Management System 700 The configuration of the rotating electric machine management system 700 used to manage the rotating electric machine 10 (see Figure 1) described above will be explained.
[0021] Figure 3 is a schematic block diagram showing the configuration of the rotating electric machine management system 700 according to the first embodiment.
[0022] As shown in Figure 3, the rotating electric machine management system 700 of the embodiment is composed of, for example, a computer and includes an input device 701, a display device 702, a storage device 703, and an arithmetic unit 704. As will be described in detail later, the rotating electric machine management system 700 is configured to manage residual breakdown voltage-related information regarding the residual breakdown voltage of the insulating member 421 (see Figure 2) that constitutes the stator 40 of the rotating electric machine 10.
[0023] [B-1] Input device 701 The input device 701 includes, for example, information input devices such as a keyboard and a pointing device (mouse, trackball, touch panel), and is provided for the user to perform operations to input various types of information. In addition to a pointing device, the input device 701 may further include information input devices such as a microphone for voice input.
[0024] [B-2] Display device 702 The display device 702 is, for example, an information output device including a display, which is provided for displaying an image on a screen.
[0025] The display device 702, for example, constitutes a user interface together with the input device 701. Here, the user interface may be a graphical user interface in which a touch panel is installed as the input device 701 on the screen of the display device 702. In addition, the rotating electric machine management system 700 may further include, as information output devices, a printer or the like for printing and displaying output, in addition to the display device 702, as equipment constituting the user interface.
[0026] [B-3] Storage device 703 The storage device 703 includes, for example, a hard disk drive and memory, and is provided for storing various types of information. The storage device 703 may also be cloud storage that constitutes a cloud system.
[0027] As will be described in more detail later, the memory device 703 stores information input to the input device 701 and information related to the calculation results of the arithmetic unit 704. The memory device 703 also stores the partial discharge signal D600 output by the partial discharge detection unit 600. The partial discharge signal D600 is a signal detected by the partial discharge detection unit 600 when the power generated by the rotating electric machine 10 is output to the power system 50 (such as power transmission and distribution equipment) due to the operation of the rotating electric machine 10. For example, it is output to the rotating electric machine management system 700 in a state converted from an analog signal to a digital signal and stored in the memory device 703.
[0028] Furthermore, the partial discharge signal D600 may be a signal converted from a digital signal acquired in voltage units to a digital signal acquired in charge units, based on the relationship between a digital signal acquired in voltage units and a digital signal acquired in charge units in advance. Also, the partial discharge signal D600 may be a digital signal that has undergone noise reduction processing.
[0029] [B-4] Arithmetic unit 704 The arithmetic unit 704 includes, for example, a central processing unit (CPU).
[0030] As will be described in more detail later, the arithmetic unit 704 functions as an arithmetic unit that executes various arithmetic processes using the program stored in the memory device 703. The arithmetic unit 704 may also be an arithmetic device that constitutes a cloud system.
[0031] [C] Functions of the Rotating Electric Machine Management System 700 Figure 4 is a functional block diagram showing the main functions of the rotating electric machine management system 700 according to the first embodiment.
[0032] As shown in Figure 4, the rotating electric machine management system 700 includes a residual breakdown voltage-related information generation unit 800 and an image data generation unit 900.
[0033] In the rotating electrical machine management system 700, the residual breakdown voltage-related information generation unit 800, as shown in Figure 4, includes a related data storage unit 801, a maximum discharge charge amount calculation unit 803, a dielectric breakdown strength calculation unit 805, a dielectric breakdown strength storage unit 807, and a residual breakdown voltage-related information calculation unit 809, and is configured to calculate residual breakdown voltage-related information D809.
[0034] The image data generation unit 900 is configured to generate image data D900 that shows the residual breakdown voltage-related information D809 generated by the residual breakdown voltage-related information generation unit 800.
[0035] In the rotating electric machine management system 700, the storage device 703 functions as a related data storage unit 801 and a dielectric breakdown strength storage unit 807, and the arithmetic unit 704 is configured to function as a maximum discharge charge amount calculation unit 803, a dielectric breakdown strength calculation unit 805, a residual breakdown voltage related information calculation unit 809, and an image data generation unit 900.
[0036] The components of the 700 rotating electric machine management system will be explained in order.
[0037] [C-1] Related data storage unit 801 The relational data storage unit 801 pre-stores the relationship between the dielectric breakdown strength (BDE) of the insulating member 421 (see Figure 2) constituting the stator 40 of the rotating electric machine 10 and the maximum discharge charge amount (Qmax) measured in the rotating electric machine 10 as relational data D801.
[0038] [C-2] Maximum discharge charge calculation unit 803 The maximum discharge charge amount calculation unit 803 analyzes the partial discharge signal D600 actually obtained from the rotating electric machine 10 during operation of the rotating electric machine 10 to determine the maximum discharge charge amount and outputs it as maximum discharge charge amount data D803.
[0039] [C-3] Dielectric breakdown strength calculation unit 805 The dielectric breakdown strength calculation unit 805 calculates the dielectric breakdown strength (BDE) corresponding to the maximum discharge charge amount data D803 output by the maximum discharge charge amount calculation unit 803, based on the relational data D801 stored in the relational data storage unit 801, and outputs it as dielectric breakdown strength data D805.
[0040] [C-4] Dielectric breakdown strength memory unit 807 The dielectric breakdown strength storage unit 807 stores the dielectric breakdown strength data D805 output by the dielectric breakdown strength calculation unit 805 in association with the acquisition time data T805 related to the time when the partial discharge signal D600 was acquired.
[0041] [C-5] Residual breakdown voltage related information calculation unit 809 The residual breakdown voltage-related information calculation unit 809 calculates residual breakdown voltage-related information D809 based on the dielectric breakdown strength data D805 stored in the dielectric breakdown strength storage unit 807 in association with the acquisition time data T805.
[0042] As will be explained in more detail later, the residual breakdown voltage-related information calculation unit 809 calculates residual breakdown voltage-related information D809, which includes past residual breakdown voltage-related information D809a regarding past residual breakdown voltages, current residual breakdown voltage-related information D809b regarding current residual breakdown voltages, and future residual breakdown voltage-related information D809c regarding future residual breakdown voltages.
[0043] [C-6] Image data generation unit 900 The image data generation unit 900 is configured to generate image data D900 that shows the residual breakdown voltage-related information D809 generated by the residual breakdown voltage-related information calculation unit 809.
[0044] As will be described in more detail later, the image data generation unit 900 generates image data D900 so that the residual breakdown voltage-related information D809 includes past residual breakdown voltage-related information D809a, current residual breakdown voltage-related information D809b, and future residual breakdown voltage-related information D809c.
[0045] [D] Operation of the Rotating Electric Machine Management System 700 Figure 5A is a flowchart showing the operation of the rotating electric machine management system 700 according to the first embodiment.
[0046] As shown in Figure 5A, the rotating electric machine management system 700 of this embodiment sequentially performs the following: calculation of the maximum discharge charge amount (= maximum discharge charge amount data D803) (ST10), calculation of dielectric breakdown strength (= dielectric breakdown strength data D805) (ST20), generation of residual breakdown voltage related information D809 (ST30), generation of image data D900 (ST40), and display of image data D900 (ST50). This operation is initiated, for example, in response to a command input to the input device 701.
[0047] The various operations of the rotating electric machine management system 700 in this embodiment will be described sequentially with reference to Figure 4, along with Figure 5A.
[0048] [D-1] Calculation of maximum discharge charge (ST10) First, as shown in Figure 5A, the calculation of the maximum discharge charge (ST10) is performed.
[0049] The calculation of the maximum discharge charge (ST10) is performed by the maximum discharge charge calculation unit 803 (see Figure 4). The maximum discharge charge calculation unit 803 receives the partial discharge signal D600, which is actually obtained from the rotating electric machine 10 during operation. The maximum discharge charge calculation unit 803 then analyzes this partial discharge signal D600 to determine the maximum discharge charge. The maximum discharge charge obtained by the analysis in the maximum discharge charge calculation unit 803 is output from the maximum discharge charge calculation unit 803 as maximum discharge charge data D803.
[0050] The maximum discharge charge is the largest charge among a certain number of discharges (at least one of 10 pps, 50 pps, or 60 pps) occurring per second, and is determined based on "IEC60034-27-1 Annex B B.2".
[0051] [D-2] Calculation of dielectric breakdown strength (ST20) Next, as shown in Figure 5A, the dielectric breakdown strength (ST20) is calculated.
[0052] The dielectric breakdown strength calculation (ST20) is performed by the dielectric breakdown strength calculation unit 805 (see Figure 4). The dielectric breakdown strength calculation unit 805 receives the maximum discharge charge amount data D803 from the maximum discharge charge amount calculation unit 803, as well as the related data D801 from the related data storage unit 801.
[0053] Here, relational data D801 is, for example, data obtained by performing a preliminary laboratory test. The preliminary laboratory test is performed, for example, by supplying power from a power source (not shown) to a test specimen (not shown) that simulates the rotating electric machine 10. By performing the preliminary laboratory test, the relationship between the dielectric breakdown strength and the maximum discharge charge amount is determined for the test specimen (not shown). The relationship between the dielectric breakdown strength and the maximum discharge charge amount for that test specimen is then stored in the relational data storage unit 801 as the relational data D801. Relational data D801 is, for example, a function or a lookup table. In addition to the preliminary laboratory test, relational data D801 may also be data obtained by performing a real machine test on the actual rotating electric machine 10, similar to the preliminary laboratory test described above.
[0054] Then, the dielectric breakdown strength calculation unit 805 calculates and outputs the dielectric breakdown strength D805, which corresponds to the maximum discharge charge amount data D803 from the relational data D801 that shows the relationship between dielectric breakdown strength and maximum discharge charge amount. The dielectric breakdown strength corresponding to the maximum discharge charge amount data D803 is determined by the lower limit of the prediction interval of the approximation curve of the relational data D801. When determining the prediction interval, the defined significance level may be arbitrarily determined considering the usage conditions, but it is desirable to use a value that can define a range equivalent to the reciprocal of the number of stator coils used in the rotating electric machine.
[0055] The dielectric breakdown strength data D805 output by the dielectric breakdown strength calculation unit 805 is associated with the acquisition time data T805 related to the time when the partial discharge signal D600 was acquired, and is stored in the dielectric breakdown strength storage unit 807.
[0056] [D-3] Generation of residual breakdown voltage related information D809 (ST30) Next, as shown in Figure 5A, the generation of residual breakdown voltage-related information D809 (ST30) is performed.
[0057] The generation of residual breakdown voltage-related information D809 (ST30) is performed by the residual breakdown voltage-related information calculation unit 809 (see Figure 4). The dielectric breakdown strength data D805, which is stored in association with the acquisition time data T805, is input to the residual breakdown voltage-related information calculation unit 809 from the dielectric breakdown strength storage unit 807. Then, the residual breakdown voltage-related information calculation unit 809 calculates the residual breakdown voltage-related information D809 from the dielectric breakdown strength data D805 that is stored in association with the acquisition time data T805.
[0058] In this embodiment, for example, as shown in (Equation 1) and (Equation 2) below, the dielectric breakdown strength calculation unit 805 calculates the residual breakdown voltage change rate BDVr [%] as residual breakdown voltage-related information D809 based on the determined dielectric breakdown strength BDE [V / m]. That is, as shown in (Equation 1), the residual breakdown voltage value BDV [V] is calculated by multiplying the dielectric breakdown strength BDE [V / m] by the thickness TI (= nominal insulation thickness) of the insulating member 421. Then, as shown in (Equation 2), the percentage of the residual breakdown voltage value BDV [V] relative to the initial withstand voltage value VR [V] of the insulating member 421 is calculated as the residual breakdown voltage change rate BDVr [%]. Note that the initial withstand voltage value VR [V] is, for example, a measured value, but may also be an estimated value estimated from the material properties.
[0059] BDE*TI=BDV (Formula 1) (BDV / VR)*100=BDVr (Formula 2)
[0060] The residual breakdown voltage-related information calculation unit 809 generates residual breakdown voltage-related information D809, which includes past residual breakdown voltage-related information D809a regarding past residual breakdown voltages, current residual breakdown voltage-related information D809b regarding current residual breakdown voltages, and future residual breakdown voltage-related information D809c regarding future residual breakdown voltages.
[0061] The past residual breakdown voltage-related information D809a is determined based on the partial discharge signal D600 obtained from the rotating electric machine 10 during operation in the past. In other words, the past residual breakdown voltage-related information D809a is determined using the dielectric breakdown strength data D805, which is stored in the dielectric breakdown strength storage unit 807 in association with the acquisition time data T805, and is obtained using the dielectric breakdown strength data D805 obtained from the partial discharge signal D600 obtained from the rotating electric machine 10 during past operation.
[0062] The current residual breakdown voltage-related information D809b is determined based on the partial discharge signal D600 obtained from the rotating electric machine 10 during operation. In other words, the current residual breakdown voltage-related information D809b is determined using the dielectric breakdown strength data D805, which is stored in the dielectric breakdown strength storage unit 807 in association with the acquisition time data T805, and is obtained using the dielectric breakdown strength data D805 obtained from the partial discharge signal D600 obtained from the rotating electric machine 10 during current operation.
[0063] In this embodiment, the future residual breakdown voltage-related information D809c is obtained by performing extrapolation interpolation based on the past residual breakdown voltage-related information D809a.
[0064] [D-4] Generation of image data D900 (ST40) Next, as shown in Figure 5A, the generation of image data D900 (ST40) is performed.
[0065] The generation of image data D900 (ST40) is performed by the image data generation unit 900 (see Figure 4). The image data generation unit 900 receives residual breakdown voltage-related information D809 from the residual breakdown voltage-related information calculation unit 809. The residual breakdown voltage-related information D809 includes past residual breakdown voltage-related information D809a, current residual breakdown voltage-related information D809b, and future residual breakdown voltage-related information D809c. The image data generation unit 900 then generates image data D900 that represents this residual breakdown voltage-related information D809.
[0066] Figure 5B is a schematic diagram showing an example of the contents of image data D900 in the rotating electric machine management system 700 according to the first embodiment.
[0067] As shown in Figure 5B, the image data D900 is generated to show past residual breakdown voltage-related information D809a, current residual breakdown voltage-related information D809b, and future residual breakdown voltage-related information D809c along the time axis in which the rotating electric machine 10 is used.
[0068] Specifically, the image data D900 includes a graph where the horizontal axis is time (Time[y]) (the time when the partial discharge detection unit 600 received the analog signal) and the vertical axis is the residual breakdown voltage change rate BDVr[%] (the ratio of the residual breakdown voltage value BDV to the initial withstand voltage value VR).
[0069] The graph of image data D900 plots multiple white circular markers DK as past residual breakdown voltage-related information D809a, while a black circular marker DC plots current residual breakdown voltage-related information D809b. The multiple white circular markers DK show the value of the residual breakdown voltage change rate BDVr[%] in the past (before Tc) at predetermined time intervals. The black circular marker DC shows the value of the residual breakdown voltage change rate BDVr[%] at the current Tc.
[0070] In the graph of image data D900, to show the trend, the approximate curve KC (regression curve), the upper limit prediction interval curve UC, and the lower limit prediction interval curve LC are each shown as solid lines, representing past residual breakdown voltage-related information D809a and future residual breakdown voltage-related information D809c. The approximate curve KC is created by approximating the past residual breakdown voltage change rate BDVr[%] value. The upper limit prediction interval curve UC is created to show the upper limit of the prediction interval of approximate curve KC. The lower limit prediction interval curve LC is created to show the lower limit of the prediction interval of approximate curve KC. Of the approximate curve KC, the upper limit prediction interval curve UC, and the lower limit prediction interval curve LC, the past portion (before Tc) is past residual breakdown voltage-related information D809a, and the future portion (after Tc) is future residual breakdown voltage-related information D809c.
[0071] The approximate curve KC, the upper limit prediction interval curve UC, and the lower limit prediction interval curve LC, shown as future residual breakdown voltage-related information D809c, correspond to lines obtained by performing extrapolation interpolation on the approximate curve KC, the upper limit prediction interval curve UC, and the lower limit prediction interval curve LC, respectively, shown as past residual breakdown voltage-related information D809a.
[0072] The above approximation is performed using a linear approximation method, such as the least squares method. In addition to linear approximation, nonlinear approximation may also be used. In nonlinear approximation, multiple undetermined coefficients can be calculated using the Gauss-Newton method. Furthermore, the significance level used to determine the prediction interval may be arbitrarily determined by the user.
[0073] The graph of image data D900 shows the residual breakdown voltage lower limit information LL related to the residual breakdown voltage change rate BDVr[%] lower limit LP as a dashed line. The residual breakdown voltage change rate BDVr[%] lower limit LP is, for example, a value defined in the standard, or a value entered by the user using the input device 701, taking stable operation into consideration.
[0074] The graph of image data D900 shows remaining life-related information LS, which relates to the estimated time at which the remaining breakdown voltage change rate BDVr[%] will reach its lower limit LP, as future remaining breakdown voltage-related information D809c. Remaining life-related information LS is generated by determining the point in time at which the approximation curve KC, the upper limit prediction interval curve UC, and the lower limit prediction interval curve LC intersect the lower limit LP of the remaining breakdown voltage change rate BDVr[%]. Here, remaining life-related information LS includes the remaining life period RK obtained from the approximation curve KC, the remaining life period RU obtained from the upper limit prediction interval curve UC, and the remaining life period RL obtained from the lower limit prediction interval curve LC. In addition, remaining life-related information LS includes the estimated remaining life arrival time TK obtained from the approximation curve KC, the estimated remaining life arrival time TU obtained from the upper limit prediction interval curve UC, and the estimated remaining life arrival time TL obtained from the lower limit prediction interval curve LC.
[0075] On the horizontal axis of the graph in image data D900, multiple inverted triangular markers are plotted to indicate the periodic inspection points Ttp1-Ttp4 and Ttf1-Ttf4 for which periodic inspections are performed on the rotating electric machine 10.
[0076] Furthermore, the graph of image data D900 shows the preparation deadline information DP for preparing spare parts to be used for updating the rotating electric machine 10 as future remaining breakdown voltage related information D809c. The preparation deadline information DP is generated by determining the preparation deadline as the periodic inspection time Ttf2, which is before the estimated remaining lifespan TL, when the rate of change of remaining breakdown voltage BDVr[%] is estimated to reach the lower limit LP from the present. For example, it is generated by determining the preparation deadline as the periodic inspection time Ttf2, which is closest to the estimated remaining lifespan TL, among multiple periodic inspection times Ttp1 to Ttp4 and Ttf1 to Ttf4. Here, the preparation deadline information DP includes not only information on the periodic inspection time Ttf2, which is the preparation deadline, but also information on the preparation period PT from the present time Tc to the periodic inspection time Ttf2, which is the preparation deadline.
[0077] As shown in Figure 5B, the image data D900 includes a table in addition to the graph, and is generated to show the remaining life-related information LS and the preparation deadline information DP in the table.
[0078] [D-5] Display of image data from D900 (ST50) Next, as shown in Figure 5A, the display of image data D900 (ST50) is executed.
[0079] The display of image data D900 (ST50) is performed by the display device 702 (see Figure 4). The display device 702 receives image data D900 from the image data generation unit 900. The display device 702 displays the image data D900 on the screen as described above (see Figure 5B).
[0080] Each of the steps described above is performed, for example, at predetermined time intervals, and the image data D900 is updated sequentially. The currently remaining breakdown voltage-related information D809b is used, for example, as past remaining breakdown voltage-related information D809a after a predetermined time has elapsed from the present.
[0081] [F] Summary As described above, the rotating electric machine management system 700 of this embodiment generates image data D900, which includes past residual breakdown voltage-related information D809a regarding past residual breakdown voltages, current residual breakdown voltage-related information D809b regarding current residual breakdown voltages, and future residual breakdown voltage-related information D809c regarding future residual breakdown voltages, through the image data generation unit 900. Past residual breakdown voltage-related information D809a is information obtained based on the partial discharge signal D600 obtained from the rotating electric machine 10 during operation in the past. Current residual breakdown voltage-related information D809b is information obtained based on the partial discharge signal D600 obtained from the rotating electric machine 10 during operation in the present. Future residual breakdown voltage-related information D809c is information obtained by performing extrapolation interpolation based on the past residual breakdown voltage-related information D809a. Here, the image data generation unit 900 generates image data D900 so as to show past residual breakdown voltage-related information D809a, current residual breakdown voltage-related information D809b, and future residual breakdown voltage-related information D809c along the time axis in which the rotating electric machine 10 is used. Therefore, according to this embodiment, it is easy to accurately grasp the changes in residual breakdown voltage information over time without stopping the operation of the rotating electric machine 10.
[0082] In this embodiment, the image data D900 includes an approximation curve KC, an upper limit prediction interval curve UC, and a lower limit prediction interval curve LC. Therefore, in this embodiment, it is possible to accurately grasp the changes over time in information regarding residual breakdown voltage, taking into account the variability in information regarding residual breakdown voltage.
[0083] In this embodiment, the image data D900 includes residual breakdown voltage lower limit information LL related to a lower limit value LP set for the characteristics related to residual breakdown voltage. The image data D900 also includes remaining life-related information LS related to the time it is estimated that the characteristics related to residual breakdown voltage will reach the lower limit value LP from the present. Therefore, according to this embodiment, it is possible to accurately manage the remaining life of the rotating electric machine 10.
[0084] In this embodiment, the image data generation unit 900 generates image data D900 such that the time point prior to the estimated remaining lifespan, when the characteristics related to the remaining breakdown voltage are estimated to reach the lower limit LP from the present, is indicated as preparation deadline information DP for preparing spare parts to be used in the replacement of the rotating electric machine 10. Therefore, according to this embodiment, the preparation of spare parts to be used in the replacement of the rotating electric machine 10 can be carried out appropriately.
[0085] The rotating electric machine management system 700 of this embodiment includes a residual breakdown voltage-related information generation unit 800. In the residual breakdown voltage-related information generation unit 800, based on the relational data D801 stored in the relational data storage unit 801, the dielectric breakdown strength calculation unit 805 calculates the dielectric breakdown strength corresponding to the maximum discharge charge amount data D803 output by the maximum discharge charge amount calculation unit 803 and outputs it as dielectric breakdown strength data D805. Then, based on the dielectric breakdown strength data D805 stored in association with the acquisition time data T805, the residual breakdown voltage-related information calculation unit 809 calculates past residual breakdown voltage-related information D809a and current residual breakdown voltage-related information D809b. Therefore, according to this embodiment, residual breakdown voltage-related information can be easily obtained.
[0086] [G] Variation A modified example of the above embodiment will be described.
[0087] Figure 6 is a schematic diagram showing an example of the contents of image data D900 in a rotating electric machine management system 700 according to a modified example of the first embodiment.
[0088] As shown in Figure 6, in this modified example, unlike the above embodiment (see Figure 5B), the current residual breakdown voltage change rate BDVr[%] (black circular marker DC), which is included as current residual breakdown voltage related information D809b in the image data D900, is shown to be smaller than the lower limit prediction interval curve LC, and is outside the prediction interval.
[0089] In this modified example, the image data generation unit 900 generates image data D900 to display warning information AL indicating that the current residual breakdown voltage change rate BDVr[%] (black circular marker DC) is outside the prediction interval, and the display device 702 displays the image data D900. Therefore, in this modified example, it is easy to recognize that an abnormality has occurred in the residual breakdown voltage change rate BDVr[%] of the rotating electric machine 10.
[0090] <Second Embodiment> [A] Functions of the Rotating Electric Machine Management System 700 Figure 7 is a functional block diagram showing the main functions of the rotating electric machine management system 700 according to the second embodiment.
[0091] As shown in Figure 7, the rotating electric machine management system 700 of this embodiment differs from the first embodiment (see Figure 4) in some aspects of the configuration of the residual breakdown voltage-related information generation unit 800. Except for this point and related points, this embodiment is the same as the first embodiment. For this reason, in the description of this embodiment, explanations of matters that overlap with the description of the above embodiment will be omitted as appropriate.
[0092] As shown in Figure 7, the residual breakdown voltage-related information generation unit 800 of this embodiment includes a related data storage unit 801, a maximum discharge charge amount calculation unit 803, a dielectric breakdown strength calculation unit 805, a dielectric breakdown strength storage unit 807, a residual breakdown voltage-related information calculation unit 809, and an image data generation unit 900, similar to the first embodiment (see Figure 4).
[0093] In addition, as shown in Figure 7, the residual breakdown voltage-related information generation unit 800 of this embodiment further includes a residual breakdown voltage reduction coefficient storage unit 821 and a residual breakdown voltage reduction amount calculation unit 823, unlike the case of the first embodiment (see Figure 4). In the rotating electric machine management system 700, the storage device 703 functions as the residual breakdown voltage reduction coefficient storage unit 821, and the calculation device 704 functions as the residual breakdown voltage reduction amount calculation unit 823.
[0094] [A-1] Residual breakdown voltage reduction coefficient storage unit 821 The residual breakdown voltage reduction coefficient storage unit 821 stores a residual breakdown voltage reduction coefficient, which indicates the percentage by which the residual breakdown voltage decreases according to operating condition information relating to the operating conditions of the rotating electric machine 10, as residual breakdown voltage reduction coefficient data D821.
[0095] The residual breakdown voltage reduction coefficient data D821, like the related data D801, is data obtained, for example, by performing pre-laboratory tests. In addition to pre-laboratory tests, the residual breakdown voltage reduction coefficient data D821 may also be data obtained by performing actual equipment tests. The residual breakdown voltage reduction coefficient data D821 is stored, for example, in a lookup table, associating the residual breakdown voltage reduction coefficient data D821 with operating condition information.
[0096] [A-2] Residual breakdown voltage reduction calculation unit 823 The residual breakdown voltage reduction calculation unit 823 outputs the residual breakdown voltage reduction amount D823 as residual breakdown voltage reduction amount data D823, based on the residual breakdown voltage reduction coefficient data D821 stored in the residual breakdown voltage reduction coefficient storage unit 821, which determines the amount by which the residual breakdown voltage will decrease in the operation plan information D701 related to the operation plan for future operation of the rotating electric machine 10.
[0097] As will be explained in more detail later, the operation plan information D701 is information that is entered through operations using the user interface screen. The user refers to the input operation image displayed on the screen of the display device 702 (see Figure 3) and enters the information into the input device 701 (see Figure 3).
[0098] [A-3] Residual breakdown voltage related information calculation unit 809 In this embodiment, unlike in the first embodiment, the residual breakdown voltage-related information calculation unit 809 calculates future residual breakdown voltage-related information D809c based on the residual breakdown voltage reduction data D823 output by the residual breakdown voltage reduction calculation unit 823. In other words, in this embodiment, the future residual breakdown voltage-related information D809c is calculated based on the operation plan information D701.
[0099] [B] Operation of the Rotating Electric Machine Management System 700 Figure 8A is a flowchart showing the operation of the rotating electric machine management system 700 according to the second embodiment.
[0100] The various operations of the rotating electric machine management system 700 in this embodiment will be described sequentially with reference to Figure 7, along with Figure 8A.
[0101] [B-1] Calculation of maximum discharge charge (ST10), calculation of dielectric breakdown strength (ST20) First, as shown in Figure 8A, the calculation of the maximum discharge charge (ST10) and the calculation of the dielectric breakdown strength (ST20) are performed in the same manner as in the first embodiment (see Figure 5A).
[0102] [B-2] Input of Driving Plan Information D701 (ST110) Along with this, in this embodiment, as shown in Figure 8A, the input of the operation plan information D701 (ST110) is performed.
[0103] The input of the operation plan information D701 (ST110) is performed by the user referring to the input operation image displayed on the screen of the display device 702 (see Figure 3) and operating the input device 701.
[0104] Figure 8B schematically shows an example of an input operation image used when inputting operation plan information D701 (ST110) in the rotating electric machine management system 700 according to the second embodiment.
[0105] As shown in Figure 8B, the input operation image includes the "Annual operational information" field, the "Annual percentage of load fluctuation pattern" field, and the "Data update" field.
[0106] The "Annual Operating Information" column displays information about future operations of the rotating electric machine 10. For example, the "Annual Operating Rate," "Annual Operating Hours," "Number of Start / Stop Counts," "Cumulative Operation Time," and "Cumulative Start / Stop Count" are shown in the "Annual Operating Rate" [% / year]. "Annual Operating Hours" [hours / year] is the total time the rotating electric machine 10 is operated annually. "Number of Start / Stop Counts" [N / year] is the total number of times the rotating electric machine 10 is started and stopped annually. "Cumulative Operating Time" [hours] is the total time the rotating electric machine 10 is operated. "Cumulative Start / Stop Counts" [N] is the total number of times the rotating electric machine 10 is started and stopped annually.
[0107] The "Annual Percentage of Load Fluctuation Patterns" column shows information regarding the percentage of load fluctuation patterns that will be used in future operations of the rotating electric machine 10. A load fluctuation pattern is, for example, a pattern in which the power output of the rotating electric machine 10 during operation changes relative to the rated output value that the rotating electric machine 10 outputs during rated operation over a 24-hour period (0:00 to 24:00). The "Annual Percentage of Load Fluctuation Patterns" column shows, for example, the percentage of each of the six load fluctuation patterns (Patterns 1 to 6) that will be implemented annually. Furthermore, the "Annual Operating Rate" is also shown in the "Annual Percentage of Load Fluctuation Patterns" column.
[0108] The "Data Update" column displays information about the file used to update the load fluctuation pattern. In this embodiment, load fluctuation patterns 1 to 3 are pre-stored load fluctuation patterns, while load fluctuation patterns 4 to 6 are patterns created by the user.
[0109] In the input operation images, the items underlined in Figure 8B are examples of items entered by the user as operation plan information D701. Here, the user enters the "Number of Start-ups and Stops" in the "Annual Operation Information" column. In addition, the user enters the percentage of operation for each of the six patterns (Pattern 1 to 6) in the "Annual Percentage of Load Fluctuation Patterns" column. When updating the load fluctuation pattern, the user uploads a file related to the load fluctuation pattern to be updated to the input device 701, as shown in the "Data Update" column.
[0110] In the input operation images, the information for items not underlined in Figure 8B is automatically calculated and displayed according to the information entered as operation plan information D701. For example, "Annual operating rate" corresponds to the sum of the percentages of each pattern in the "Annual percentage of load fluctuation patterns" column. "Annual operating hours" corresponds to the hours converted from the "Annual operating rate". "Cumulative operating hours" corresponds to the sum of the "Annual operating hours" for each year. "Cumulative number of start-ups and stop-downs" corresponds to the sum of the "number of start-ups and stop-downs" for each year.
[0111] Input of the operation plan information D701 (ST110) is performed, for example, by pressing the "Edit" button in the input operation image. Then, input of the operation plan information D701 is canceled, for example, by pressing the "Cancel" button in the input operation image. Furthermore, the input operation plan information D701 is saved, for example, by pressing the "Save" button in the input operation image, and this operation plan information D701 is output from the input device 701 to the residual breakdown voltage reduction calculation unit 823.
[0112] [B-3] Calculation of residual breakdown voltage reduction (ST120) Next, in this embodiment, the calculation of the residual breakdown voltage reduction (ST120) is performed, as shown in Figure 8A.
[0113] The calculation of the residual breakdown voltage reduction (ST120) is performed by the residual breakdown voltage reduction calculation unit 823 (see Figure 7). As described above, the operating plan information D701 is input to the residual breakdown voltage reduction calculation unit 823 from the input device 701. In addition, the residual breakdown voltage reduction calculation unit 823 is input with residual breakdown voltage reduction coefficient data D821 from the residual breakdown voltage reduction coefficient storage unit 821.
[0114] The residual breakdown voltage reduction coefficient data D821 is data relating to the residual breakdown voltage reduction coefficient, which indicates the rate at which the residual breakdown voltage decreases according to the operating condition information included in the operating plan information D701. For example, the residual breakdown voltage reduction coefficient data D821 includes a residual breakdown voltage reduction coefficient that indicates the rate at which the residual breakdown voltage decreases according to the "annual operating hours" included in the operating plan information D701. In addition, the residual breakdown voltage reduction coefficient data D821 includes a residual breakdown voltage reduction coefficient that indicates the rate at which the residual breakdown voltage decreases according to the "equivalent number of starts and stops" obtained from the "annual rate of load fluctuation patterns" included in the operating plan information D701.
[0115] The "equivalent number of starts and stops" is determined by converting the output fluctuations of the rotating electric machine 10 due to load fluctuation patterns into a value equivalent to the number of starts and stops. Here, the "equivalent number of starts and stops ES" is calculated by the following (Equation A), which is expressed by the load MW (power generation output), time t, and rated load MWr (rated power generation output).
[0116]
number
[0117] Then, the residual breakdown voltage reduction calculation unit 823 calculates the residual breakdown voltage reduction using the operation plan information D701 and the residual breakdown voltage reduction coefficient data D821. Here, the "residual breakdown voltage reduction D" for year i is calculated. i Regarding the residual breakdown voltage reduction coefficient C of the j factor included in the residual breakdown voltage reduction coefficient data D821, j And the value F for year i of factor j included in the driving plan information D701. ij And it is calculated by the following (Equation B).
[0118]
number
[0119] For example, factor j is the operating time T, the equivalent number of starts N, and the load fluctuation pattern ratio R, and the residual breakdown voltage reduction coefficient C j However, if the residual breakdown voltage reduction coefficient C0 is for operating time T, the residual breakdown voltage reduction coefficient C1 is for equivalent number of starts N, and the residual breakdown voltage reduction coefficient C2 is for load fluctuation pattern ratio R, then the "residual breakdown voltage reduction amount D" for year i is... i This is calculated by (Equation C) below.
[0120]
number
[0121] The residual breakdown voltage reduction calculation unit 823 then outputs the calculated residual breakdown voltage reduction as residual breakdown voltage reduction data D823.
[0122] [B-4] Generation of residual breakdown voltage related information D809 (ST30) Next, as shown in Figure 8A, the generation of residual breakdown voltage-related information D809 (ST30) is performed.
[0123] The generation of residual breakdown voltage-related information D809 (ST30) is performed by the residual breakdown voltage-related information calculation unit 809 (see Figure 7). Similar to the first embodiment (see Figure 4), the dielectric breakdown strength data D805, which is stored in association with the acquisition time data T805, is input to the residual breakdown voltage-related information calculation unit 809 from the dielectric breakdown strength storage unit 807. Then, from the dielectric breakdown strength data D805 stored in association with the acquisition time data T805, the residual breakdown voltage-related information calculation unit 809 determines past residual breakdown voltage-related information D809a and current residual breakdown voltage-related information D809b as residual breakdown voltage-related information D809.
[0124] In addition, in this embodiment, unlike in the first embodiment (see Figure 4), the residual breakdown voltage-related information calculation unit 809 receives residual breakdown voltage reduction data D823 from the residual breakdown voltage reduction calculation unit 823. The residual breakdown voltage-related information calculation unit 809 calculates future residual breakdown voltage-related information D809c based on the residual breakdown voltage reduction data D823 output by the residual breakdown voltage reduction calculation unit 823. In other words, in this embodiment, future residual breakdown voltage-related information D809c is not calculated by extrapolation, but is calculated using the residual breakdown voltage reduction data D823 obtained according to the operation plan information D701. For example, the residual breakdown voltage change rate BDVr[%] is calculated for each future year as future residual breakdown voltage-related information D809c.
[0125] [B-5] Generation of image data D900 (ST40) Next, as shown in Figure 8A, the generation of image data D900 (ST40) is performed.
[0126] The generation of image data D900 (ST40) is performed by the image data generation unit 900 (see Figure 7).
[0127] Figure 8C is a schematic diagram showing an example of the contents of image data D900 in the rotating electric machine management system 700 according to the second embodiment.
[0128] As shown in Figure 8C, the image data D900 of this embodiment is generated in the same way as in the first embodiment (see Figure 5B) in the portion showing past residual breakdown voltage-related information D809a and current residual breakdown voltage-related information D809b. In contrast, the portion showing future residual breakdown voltage-related information D809c in the image data D900 of this embodiment differs from that of the first embodiment (see Figure 5B).
[0129] In the graph of the image data D900 of this embodiment, the future residual breakdown voltage-related information D809c is generated so that the approximate curve KC, the upper limit prediction interval curve UC, and the lower limit prediction interval curve LC are each shown as solid lines.
[0130] Specifically, the approximate curve KC shown as future residual breakdown voltage related information D809c is not generated by extrapolation interpolation of past residual breakdown voltage related information D809a. Instead, it is generated so that the rate of change of residual breakdown voltage BDVr[%] decreases from the approximate curve KC of past residual breakdown voltage related information D809a, according to the operation plan information D701 for each year, and is shown as a solid line.
[0131] The upper limit prediction interval curve UC and the lower limit prediction interval curve LC, shown as future residual breakdown voltage-related information D809c, are similarly generated to show, with solid lines, the decrease in the residual breakdown voltage change rate BDVr[%] from the upper limit prediction interval curve UC and the lower limit prediction interval curve LC of past residual breakdown voltage-related information D809a, respectively, according to the operation plan information D701 for each year.
[0132] [B-6] Display of image data D900 (ST50) Next, as shown in Figure 8A, the display of image data D900 (ST50) is executed.
[0133] The display of image data D900 (ST50) is performed by the display device 702 (see Figure 7), as in the first embodiment.
[0134] Furthermore, the rotating electric machine management system 700 operates as described above, updating the image data D900, which shows the future residual breakdown voltage related information D809c, each time the operation plan information D701 is updated.
[0135] [C] Summary As described above, in the rotating electric machine management system 700 of this embodiment, the future residual breakdown voltage-related information D809c is information obtained based on the operation plan information D701 relating to the operation plan for the rotating electric machine 10 in the future. Therefore, in this embodiment, it is possible to accurately grasp the changes in information regarding residual breakdown voltage over time according to the operation plan for the rotating electric machine 10 in the future. As a result, in this embodiment, the operation of the rotating electric machine 10 can be efficiently considered.
[0136] In the residual breakdown voltage-related information calculation unit 809 of this embodiment, the residual breakdown voltage reduction coefficient storage unit 821 stores a residual breakdown voltage reduction coefficient, which indicates the percentage by which the residual breakdown voltage decreases according to the operating condition information relating to the operating conditions of the rotating electric machine 10, as residual breakdown voltage reduction coefficient data D821. The residual breakdown voltage reduction amount calculation unit 823 outputs the residual breakdown voltage reduction amount data D823 based on the residual breakdown voltage reduction coefficient data D821, which indicates the amount by which the residual breakdown voltage decreases in the operating plan information D701. Then, the residual breakdown voltage-related information calculation unit 809 determines future residual breakdown voltage-related information D809c based on the residual breakdown voltage reduction amount data D823. Therefore, according to this embodiment, future residual breakdown voltage-related information D809c corresponding to the operating plan information D701 can be easily obtained.
[0137] [G] Variation A modified example of the above embodiment will be described.
[0138] Figure 9 is a schematic diagram showing an example of the contents of image data D900 in a rotating electric machine management system 700 according to a modified example of the second embodiment.
[0139] In this modified example, as shown in Figure 9, in the graph of image data D900, the future residual breakdown voltage-related information D809c is shown with solid lines for the approximation curve KC1, the upper limit prediction interval curve UC1, and the lower limit prediction interval curve LC1, while the approximation curve KC2, the upper limit prediction interval curve UC2, and the lower limit prediction interval curve LC2 are shown with dashed lines.
[0140] The approximate curve KC1, the upper limit prediction interval curve UC1, and the lower limit prediction interval curve LC1 each show the trend of decreasing residual breakdown voltage change rate BDVr[%] calculated according to the first operation plan information input as operation plan information D701.
[0141] The approximate curve KC2, the upper limit prediction interval curve UC2, and the lower limit prediction interval curve LC2 each show the trend of decreasing residual breakdown voltage change rate BDVr[%] calculated according to the second operation plan information input as operation plan information D701. Here, the operating conditions differ between the first operation plan information and the second operation plan information.
[0142] Furthermore, as shown in Figure 9, the graph of image data D900 shows the remaining life-related information LS1 and remaining life-related information LS2 as future remaining breakdown voltage-related information D809c.
[0143] The remaining life-related information LS1 is information regarding the estimated time at which the remaining breakdown voltage change rate BDVr[%], calculated according to the first operation plan information input as operation plan information D701, will reach the lower limit value LP from the present. It is generated by determining the point at which the approximation curve KC1, the upper limit prediction interval curve UC1, and the lower limit prediction interval curve LC1 intersect the lower limit value LP of the remaining breakdown voltage change rate BDVr[%]. Here, the remaining life-related information LS1 includes the remaining life period RK1 obtained from the approximation curve KC1, the remaining life period RU1 obtained from the upper limit prediction interval curve UC1, and the remaining life period RL1 obtained from the lower limit prediction interval curve LC1. In addition, the remaining life-related information LS1 includes the estimated remaining life arrival time TK1 obtained from the approximation curve KC1, the estimated remaining life arrival time TU1 obtained from the upper limit prediction interval curve UC1, and the estimated remaining life arrival time TL1 obtained from the lower limit prediction interval curve LC1.
[0144] In contrast, the remaining life-related information LS2 is information regarding the estimated time at which the remaining breakdown voltage change rate BDVr[%], calculated according to the second operation plan information which differs from the first operation plan information, will reach the lower limit LP from the present. It is generated by determining the point at which the approximation curve KC2, the upper limit prediction interval curve UC2, and the lower limit prediction interval curve LC2 intersect the lower limit LP of the remaining breakdown voltage change rate BDVr[%]. Here, the remaining life-related information LS2 includes the remaining life period RK2 obtained from the approximation curve KC2, the remaining life period RU2 obtained from the upper limit prediction interval curve UC2, and the remaining life period RL2 obtained from the lower limit prediction interval curve LC2. In addition, the remaining life-related information LS2 includes the estimated remaining life arrival time TK2 obtained from the approximation curve KC2, the estimated remaining life arrival time TU2 obtained from the upper limit prediction interval curve UC2, and the estimated remaining life arrival time TL2 obtained from the lower limit prediction interval curve LC2.
[0145] In addition, as shown in Figure 9, the graph of the image data D900 shows preparation deadline information DP1 and preparation deadline information DP2 as future remaining breakdown voltage related information D809c. Preparation deadline information DP1 is generated by determining the preparation deadline as the periodic inspection time Ttf2 closest to the estimated remaining lifespan time TL1, for example, at a point before the estimated remaining lifespan time TL2, for example, at the periodic inspection time Ttf2 closest to the estimated remaining lifespan time TL2. Here, preparation deadline information DP1 and preparation deadline information DP2 include information on the preparation period PT from the current time Tc to the periodic inspection time Ttf2, which is the preparation deadline, in addition to information on the periodic inspection time Ttf2, which is the preparation deadline.
[0146] As shown in Figure 9, the image data D900 includes a table in addition to the graph, and is generated to show the remaining life information LS1, the remaining life information LS1, the preparation deadline information DP1, and the preparation deadline information DP2 in a table.
[0147] As described above, in this modified example, the image data generation unit 900 generates image data D900 to show the first future residual breakdown voltage-related information (approximate curve KC1, upper limit prediction section curve UC1, lower limit prediction section curve LC1, remaining life-related information LS1, preparation deadline information DP1) which is obtained as future residual breakdown voltage-related information D809c when the first operation plan information D701 is input as operation plan information D701. At the same time, the image data generation unit 900 generates image data D900 to show the second future residual breakdown voltage-related information (approximate curve KC2, upper limit prediction section curve UC2, lower limit prediction section curve LC2, remaining life-related information LS2, preparation deadline information DP2) which is obtained as future residual breakdown voltage-related information D809c when the second operation plan information D701, which is different from the first operation plan information D701, is input as operation plan information D701. Here, image data D900 is generated so that the first future residual breakdown voltage-related information and the second future residual breakdown voltage-related information are shown side by side as future residual breakdown voltage-related information D809c.
[0148] Therefore, in this modified example, since multiple future residual breakdown voltage-related information D809c are shown according to multiple operation plan information D701, it is possible to accurately grasp how the future residual breakdown voltage-related information D809c changes depending on the content of the operation plan information D701.
[0149] The operation is initiated, for example, in response to a command input to the input device 701. Furthermore, the system may be configured to select between two states, for example, in response to a command input to the input device 701: the future remaining breakdown voltage related information D809c may show either the first future remaining breakdown voltage related information (approximate curve KC1, upper limit prediction interval curve UC1, lower limit prediction interval curve LC1, remaining life related information LS1, preparation deadline information DP1) and the second future remaining breakdown voltage related information (approximate curve KC2, upper limit prediction interval curve UC2, lower limit prediction interval curve LC2, remaining life related information LS2, preparation deadline information DP2).
[0150] In addition, in this embodiment as well, similar to the modification of the first embodiment, the image data D900 may be generated to show warning information AL (see Figure 6).
[0151] <Other> While several embodiments of the present invention have been described, these embodiments are presented as examples only and are not intended to limit the scope of the invention. These embodiments can be carried out in a variety of other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims and their equivalents. [Explanation of symbols]
[0152] 10: Rotating electric machine, 20: Rotor, 40: Stator, 41: Stator core, 42: Stator coil, 43: Stator wedge, 50: Power system, 60: Rotating electric machine casing, 200: Rotor core, 201: Rotating shaft, 421: Insulating material, 600: Partial discharge detection unit, 700: Rotating electric machine management system, 701: Input device, 702: Display device, 703: Memory device, 704: Calculation unit, 800: Residual breakdown voltage related information generation unit, 801: Related data storage unit, 803: Maximum discharge charge amount calculation unit, 805: Dielectric breakdown strength calculation unit, 807: Dielectric breakdown strength storage 809: Residual breakdown voltage related information calculation unit, 821: Residual breakdown voltage reduction coefficient storage unit, 823: Residual breakdown voltage reduction amount calculation unit, 900: Image data generation unit, AG: Gap, AL: Warning information, AX: Rotation axis, D600: Partial discharge signal, D701: Operation plan information, D801: Related data, D803: Maximum discharge charge amount data, D805: Dielectric breakdown strength data, D809: Residual breakdown voltage related information, D809a: Past residual breakdown voltage related information, D809b: Current residual breakdown voltage related information, D809c: Future residual breakdown voltage related information, D821: Residual breakdown voltage D823: Decreased Voltage Decrease Data, D900: Image Data, DP: Preparation Deadline Information, DP1: Preparation Deadline Information, DP2: Preparation Deadline Information, KC: Approximation Curve, KC1: Approximation Curve, KC2: Approximation Curve, KS: Stator Slot, LC: Lower Limit Prediction Interval Curve, LC1: Lower Limit Prediction Interval Curve, LC2: Lower Limit Prediction Interval Curve, LL: Lower Limit of Remaining Decreased Voltage Information, LS: Remaining Life Related Information, LS1: Remaining Life Related Information, LS2: Remaining Life Related Information, RK: Remaining Life Period, RK1: Remaining Life Period, RK2: Remaining Life Period, RL: Remaining Life Period, RL1 : Remaining lifespan, RL2: Remaining lifespan, RU: Remaining lifespan, RU1: Remaining lifespan, RU2: Remaining lifespan, T805: Data acquired at the time of acquisition, TK: Estimated time to reach remaining lifespan, TK1: Estimated time to reach remaining lifespan, TK2: Estimated time to reach remaining lifespan, TL: Estimated time to reach remaining lifespan, TL1: Estimated time to reach remaining lifespan, TL2: Estimated time to reach remaining lifespan, Ttp1~Ttp4: Periodic inspection time, TU: Estimated time to reach remaining lifespan, TU1: Estimated time to reach remaining lifespan, TU2: Estimated time to reach remaining lifespan, UC: Upper limit prediction interval curve, UC1: Upper limit prediction interval curve, UC2: Upper limit prediction interval curve
Claims
1. A rotating electric machine comprising a rotor and a stator in which stator coils are housed in stator slots formed in a stator core via insulating members, wherein a rotating electric machine management system manages residual breakdown voltage-related information concerning the residual breakdown voltage of the insulating member, A residual breakdown voltage-related information generation unit is configured to calculate residual breakdown voltage-related information by combining past residual breakdown voltage-related information regarding past residual breakdown voltages, current residual breakdown voltage-related information regarding current residual breakdown voltages, and future residual breakdown voltage-related information regarding future residual breakdown voltages. An image data generation unit is configured to generate image data showing the past residual breakdown voltage-related information, the current residual breakdown voltage-related information, and the future residual breakdown voltage-related information. Equipped with, The residual breakdown voltage-related information generation unit, A relational data storage unit that pre-stores as relational data the relationship between the dielectric breakdown strength of the insulating member and the maximum discharge charge amount measured in the rotating electric machine, A maximum discharge charge calculation unit that analyzes the partial discharge signal actually obtained from the rotating electric machine during operation of the rotating electric machine to determine the maximum discharge charge amount and outputs it as maximum discharge charge amount data, A dielectric breakdown strength calculation unit calculates the dielectric breakdown strength corresponding to the maximum discharge charge amount data output by the maximum discharge charge amount calculation unit based on the relational data stored in the relational data storage unit and outputs it as dielectric breakdown strength data, A dielectric breakdown strength storage unit stores dielectric breakdown strength data output by the dielectric breakdown strength calculation unit in association with acquisition time data relating to the time when the partial discharge signal was acquired. A residual breakdown voltage-related information calculation unit calculates past residual breakdown voltage-related information and current residual breakdown voltage-related information based on the dielectric breakdown strength data stored in the dielectric breakdown strength storage unit in association with the acquisition time data. Includes, The residual breakdown voltage-related information calculation unit is: A residual breakdown voltage reduction coefficient storage unit stores a residual breakdown voltage reduction coefficient as residual breakdown voltage reduction coefficient data, which indicates the rate by which the residual breakdown voltage decreases according to operating condition information relating to the operating conditions of the rotating electric machine. A residual breakdown voltage reduction amount calculation unit outputs residual breakdown voltage reduction amount data as residual breakdown voltage reduction amount data, based on the residual breakdown voltage reduction coefficient data stored in the residual breakdown voltage reduction coefficient storage unit, which corresponds to the amount by which the residual breakdown voltage decreases in relation to the operation plan information for future operation of the rotating electric machine. It has, The residual breakdown voltage-related information calculation unit is configured to determine the future residual breakdown voltage-related information based on the residual breakdown voltage reduction data output by the residual breakdown voltage reduction calculation unit. The operation plan information includes the number of starts and stops performed annually for the operation of the rotating electric machine, and the annual load fluctuation pattern ratio, which is the percentage of the load fluctuation pattern in which the power output value of the rotating electric machine changes during operation, relative to the rated output value that the rotating electric machine outputs during rated operation. Rotating electrical machine management system.
2. The image data generation unit generates the image data such that the past residual breakdown voltage-related information, the current residual breakdown voltage-related information, and the future residual breakdown voltage-related information are shown along the time axis in which the rotating electric machine is used. The rotating electric machine management system according to claim 1.
3. The aforementioned driving plan information is information entered through operations using the user interface screen. The rotating electric machine management system according to claim 1.
4. The image data generation unit updates the image data showing the future residual breakdown voltage-related information each time the operation plan information is updated. The rotating electric machine management system according to claim 3.
5. The image data generation unit generates the image data such that it displays, side by side, the first future residual breakdown voltage-related information, which is obtained when first operation plan information is input as operation plan information, and the second future residual breakdown voltage-related information, which is obtained when second operation plan information different from the first operation plan information is input as operation plan information. The rotating electric machine management system according to claim 1.
6. The image data generation unit generates the image data so that the past residual breakdown voltage-related information is shown at predetermined time intervals. The rotating electric machine management system according to claim 1.
7. The image data is generated to show residual breakdown voltage lower limit information relating to the lower limit value set for the characteristics relating to the residual breakdown voltage. The rotating electric machine management system according to claim 1.
8. The image data is generated to show remaining life-related information regarding the time from the present to when the characteristics of the remaining breakdown voltage are estimated to reach the lower limit. The rotating electric machine management system according to claim 7.
9. The image data generation unit generates the image data such that it indicates a point in time prior to the estimated remaining lifespan, when the characteristics related to the remaining breakdown voltage are estimated to reach the lower limit, as preparation deadline information for preparing spare parts to be used for replacing the rotating electric machine. The rotating electric machine management system according to claim 8.
10. The image data is generated to show an approximation curve obtained from the characteristics of the residual breakdown voltage in the past, an upper limit prediction interval curve indicating the upper limit of the prediction interval of the approximation curve, and a lower limit prediction interval curve indicating the lower limit of the prediction interval of the approximation curve. The rotating electric machine management system according to claim 1.
11. The image data generation unit generates the image data such that it displays warning information indicating that the characteristics of the current residual breakdown voltage included in the current residual breakdown voltage-related information are outside the predicted interval. The rotating electric machine management system according to claim 10.