Bearing stiffness detection method, device and storage medium

Abstract

The embodiment of the present application provides a bearing stiffness detection method, device and storage medium, the method comprising: obtaining the force exerted on each bearing shell on the bearing during the target motion cycle; determining the vector trajectory of the resultant bearing force during the target motion cycle based on the force, and performing vector decomposition on the vector trajectory to obtain the load at each sampling moment; obtaining the motion trajectory of the axis relative to the origin during the target motion cycle, and performing vector decomposition on the motion trajectory to obtain the motion components at each sampling moment; obtaining the bearing stiffness at each sampling moment during the target motion cycle based on the load and motion components. In the embodiment of the present application, the motion trajectory is obtained by a distance sensor group and the vector trajectory is obtained by a force sensor, and the bearing stiffness is then calculated based on the two trajectories, which can ensure the accuracy of the bearing stiffness detection.

Description

Technical Field

[0001] The present application relates to the field of hydro-generator operating parameter detection, and in particular to a bearing stiffness detection method, device and storage medium. Background Art

[0002] Stiffness is a critical parameter in the structural design of hydro-turbine generator sets, and the accuracy of its measurement impacts the normal operation of the unit. Currently, the shafting arrangement of hydro-turbine generator sets is mostly vertical. During operation, the bearings and shafts can be considered to be connected by a preloaded spring, resulting in variable bearing stiffness.

[0003] The calculation and testing of stiffness in existing technologies are based on the "small disturbance" assumption. However, generally speaking, the shaft system of a vertical hydro-turbine generator set will produce large vibrations during operation, resulting in relative offset between the shaft and the bearing, making it impossible to accurately detect the bearing stiffness based on existing technologies. Summary of the Invention

[0004] The embodiments of the present application provide a bearing stiffness detection method, device, and storage medium for accurately detecting the bearing stiffness during the operation of a hydro-generator set.

[0005] An embodiment of the present application provides a bearing stiffness detection method, characterized in that the method includes:

[0006] Obtaining the force exerted on each bearing shell of the bearing during a target motion cycle, wherein the target motion cycle is the time for the shaft to rotate once, and the target motion cycle includes multiple sampling moments;

[0007] Determine the vector trajectory of the resultant force of the bearing within the target motion cycle according to the action force, and perform vector decomposition on the vector trajectory to obtain the load at each sampling moment;

[0008] Obtaining a motion trajectory of the axis relative to the origin within a target motion period, and performing vector decomposition on the motion trajectory to obtain motion components at each sampling moment;

[0009] The bearing stiffness at each sampling moment in the target motion cycle is obtained according to the load and motion component.

[0010] The present application also provides a bearing stiffness detection device, which is characterized by comprising:

[0011] a force unit for obtaining the force exerted on each bearing shell of the bearing during a target motion cycle, wherein the target motion cycle is the time for the shaft to rotate once and includes a plurality of sampling moments;

[0012] A vector trajectory unit is used to determine the vector trajectory of the bearing resultant force within the target motion cycle according to the action force, and perform vector decomposition on the vector trajectory to obtain the load at each sampling moment;

[0013] A motion trajectory unit, configured to obtain a motion trajectory of the axis relative to the origin within a target motion period, and perform vector decomposition on the motion trajectory to obtain motion components at each sampling moment;

[0014] A bearing stiffness unit is used to obtain the bearing stiffness at each sampling moment in the target motion cycle according to the load and motion component.

[0015] In some embodiments, the load includes a dynamic load and a static load, and the vector trajectory unit further includes:

[0016] a force balance point subunit, configured to determine a force balance point according to the vector trajectory;

[0017] The force decomposition subunit is used to perform vector decomposition on the bearing resultant force at each sampling moment based on the force balance point, and determine the dynamic load and static load at each sampling moment in the target motion cycle.

[0018] In some embodiments, the motion component includes a dynamic component and a static component, and the motion trajectory unit further includes:

[0019] a static balance point subunit, configured to determine a static balance point according to the motion trajectory;

[0020] The motion decomposition subunit is used to perform vector decomposition on the axis displacement vector at each sampling moment based on the static balance point, and determine the dynamic component and the static component at each sampling moment in the target motion cycle.

[0021] In some embodiments, the bearing stiffness unit further comprises:

[0022] A first angle subunit, configured to determine an angle between the dynamic load and the dynamic vector of the dynamic component;

[0023] A dynamic stiffness subunit, configured to calculate the dynamic stiffness based on the motion vector angle and the motion component;

[0024] A second angle subunit, configured to determine a static vector angle between the static load and the static component;

[0025] a static stiffness subunit, configured to calculate the static stiffness based on the static vector angle and the static component;

[0026] The bearing stiffness at each sampling moment in the target motion cycle is determined according to the dynamic stiffness and the static stiffness.

[0027] In some embodiments, the bearing stiffness detection device further includes:

[0028] A stiffness force unit, used to calculate the stiffness force at each sampling moment according to the bearing stiffness;

[0029] The velocity direction force unit is used to calculate the velocity direction force based on the stiffness force and the bearing force at each sampling moment;

[0030] A velocity vector unit, configured to calculate an axis velocity vector according to the motion trajectory;

[0031] The damping coefficient unit is used to calculate the damping coefficient corresponding to the sampling moment according to the velocity direction force and the axis velocity vector, and the damping coefficient reflects the effect of the bearing resultant force on the shaft.

[0032] In some embodiments, the rectangular coordinate system includes two coordinate axes, and a distance sensor is provided at the intersection of each coordinate axis and the bearing. The motion trajectory unit further includes:

[0033] a thermal motion quantum unit, configured to calculate the thermal motion amount corresponding to the coordinate axis at each sampling moment within the target motion cycle according to the distance value obtained by the distance sensor;

[0034] An offset quantum unit, configured to calculate an axis center offset of the axis in the direction of the coordinate axis based on the distance value obtained by the distance sensor under the same coordinate axis and the thermal motion;

[0035] An offset position subunit, configured to obtain an offset position of the axis relative to the origin at each sampling moment according to the axis offset;

[0036] The motion trajectory subunit is used to obtain the motion trajectory of the axis relative to the origin within the target motion cycle according to the offset position.

[0037] In some embodiments, the target motion cycle is any one of the multiple motion cycles included in the detection cycle, and the bearing stiffness detection device further includes:

[0038] a judging unit, configured to judge whether the target motion cycle is the last motion cycle of the detection cycle;

[0039] Jump unit, used for:

[0040] If not, the next movement cycle is used as the target movement cycle;

[0041] Jump to step: obtain the force exerted on each bearing shell of the bearing during the target motion cycle;

[0042] Stiffness curve elements for:

[0043] If so, the bearing stiffness curve of each movement cycle in the detection cycle is obtained based on the total bearing stiffness.

[0044] In the bearing stiffness detection method provided in the embodiment of the present application, the method of calculating the bearing stiffness is based on the motion trajectory obtained by the distance sensor group and the vector trajectory obtained by the force sensor. When the shaft system vibrates, the bearing stiffness in operation can be accurately obtained, so that technicians can adjust the operating status of the hydropower unit according to the stiffness. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0046] Figure 1a Schematic diagram of a bearing stiffness detection method according to an embodiment of the present application;

[0047] Figure 1b 1 is a flow chart of a bearing stiffness detection method provided in an embodiment of the present application;

[0048] Figure 2a This is a schematic diagram of the bearing resultant force provided in an embodiment of the present application;

[0049] Figure 2b is a schematic diagram of a vector trajectory provided in an embodiment of the present application;

[0050] Figure 3 Schematic diagram of vector decomposition of the resultant bearing force in an embodiment of the present application;

[0051] Figure 4a Schematic diagram of calculating thermal motion using formula (1) in the embodiment of the present application;

[0052] Figure 4b Schematic diagram of calculating thermal motion using formula (2) in the embodiment of the present application;

[0053] Figure 5 is a schematic diagram of vector decomposition of a motion trajectory according to an embodiment of the present application;

[0054] Figure 6 is a schematic diagram of a bearing stiffness curve expressed in polar coordinates in an embodiment of the present application;

[0055] Figure 7a This is an analysis diagram of the force exerted by the bearing on the shaft provided in an embodiment of the present application;

[0056] Figure 7b It is a time domain diagram of the damping coefficient provided in an embodiment of the present application within a motion cycle;

[0057] Figure 8a This is a schematic diagram of a specific embodiment provided in the embodiments of the present application;

[0058] Figure 8b This is a flow chart of a specific embodiment provided in the embodiments of the present application;

[0059] Figure 9 is a schematic diagram of a bearing stiffness detection device according to an embodiment of the present application;

[0060] Figure 10 It is a structural diagram of the bearing stiffness detection system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0061] It should be noted that the terms used in the examples section of the embodiments of this application are intended only to explain the specific embodiments of this application and are not intended to limit this application. Furthermore, in the description of the embodiments of this application, unless otherwise specified, "a plurality" refers to two or more than two, and "at least one" refers to one, two, or more than two. The term "first" is used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features being referred to. The term "superior" is used for descriptive purposes only and should not be construed as implying that the object being described is relatively more important. References to "one embodiment" or "some embodiments" in this specification mean that one or more embodiments of this application include the specific features, structures, or characteristics described in conjunction with that embodiment. Therefore, phrases such as "in one embodiment" and "some embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically stated. The terms "including," "comprising," "having," and their variations all mean "including but not limited to," unless otherwise specifically stated.

[0062] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts are within the scope of protection of this application.

[0063] First, let’s introduce the basic concepts of the terms related to this application:

[0064] Hydro-turbine generator set: Hydro-turbine generators are divided into vertical and horizontal types according to their layout. For smaller turbines with higher rotational speeds, especially impulse turbines, horizontal shaft generators are mostly used. The rotational speeds of large turbines are relatively low. In order to generate 50Hz alternating current, the hydro-turbine generator adopts a multi-pair magnetic pole structure. For a hydro-turbine generator with a rotation speed of 120 revolutions per minute, the rotor has 25 pairs of magnetic poles. The rotor speed of a 700MW hydro-turbine generator at the Three Gorges Power Station is 75r / min (75 revolutions per minute) and uses 40 pairs of magnetic poles. Due to the large number of magnetic poles and the large size, a vertical shaft structure is adopted. The hydro-turbine generator set in this application only considers the vertical shaft structure.

[0065] Bearings: In this application, since the hydro-generator is a heavy equipment, the bearing load is very large during movement, and sliding bearings with strong load capacity are usually used. Oil-immersed sliding bearings are mostly used in large hydro-generator sets. The bearings mainly bear the mechanical imbalance force of the rotor and the unilateral magnetic pull caused by the eccentricity of the rotor. Its main function is to prevent the swing of the shaft. The bearing is composed of main components such as bearing shells, support bolts, and bearing seats. During the operation of the hydro-generator set, the shaft is the moving part and the bearing is the stationary part. The bearing shell is the part that contacts the shaft and is fixed to the bearing seat by support bolts. A gap is set between the bearing shell and the shaft, and the gap is usually filled with lubricating oil. The bearing shell is the direct force-bearing part of the force generated by the shaft during movement.

[0066] Stiffness: The ability of a material or structure to resist elastic deformation when subjected to force. It is a representation of the ease or difficulty of elastic deformation of a material or structure.

[0067] Embodiments of the present application provide a bearing stiffness detection method, device, and storage medium.

[0068] The bearing stiffness detection method may be integrated into an electronic device, which may be a terminal device or a main control panel.

[0069] In some embodiments, the terminal can be an independent device, such as a mobile phone, tablet computer, smart Bluetooth device, laptop computer, or personal computer (PC), and the device can serve as both a memory and a processor. The device serves as a memory for storing instructions, and the device also serves as a processor to load instructions from the memory to execute the bearing stiffness detection method of the present application; the device is connected to a bearing stiffness detection device with a detection function, and transmits the instructions to the bearing stiffness detection device so that the device can interpret the instructions and perform the corresponding detection action.

[0070] In some embodiments, the terminal can be a main control panel, which is used to realize human-computer interaction, and the main control panel is connected to a bearing stiffness detection device having a bearing stiffness detection function. The main control panel may include a microprocessor, a control, and a display screen, etc. The control is used to generate relevant operation instructions in response to user operations, so that the bearing stiffness detection device performs corresponding actions according to the operation instructions, for example, starting / shutting down the bearing stiffness detection device; the display screen is used to display various parameters generated when the bearing stiffness detection device is working; the microprocessor can store the bearing stiffness detection method of the present application and generate corresponding bearing stiffness detection instructions so that the bearing stiffness detection device can parse the instructions and perform corresponding detection actions. In addition, the microprocessor can receive and analyze the data obtained when the bearing stiffness detection device is working, and transmit the results to the display screen.

[0071] In some embodiments, the bearing stiffness detection method can also be integrated into multiple electronic devices. For example, the bearing stiffness detection method can be integrated into multiple terminals, and the bearing stiffness detection method of the present application can be jointly implemented by multiple terminals, where each terminal can implement different functions of the bearing stiffness detection method.

[0072] It should be noted that the serial numbers of the following embodiments are not intended to limit the preferred order of the embodiments.

[0073] Example 1

[0074] refer to Figure 1a , shows a schematic diagram of the application scenario of the bearing stiffness detection method in this embodiment. Figure 1a As shown, this embodiment may include a bearing stiffness detection device 100, wherein the bearing stiffness detection device 100 includes a shaft 110, a bearing 120, a force sensor group 130, a distance sensor group 140, and a processor 150;

[0075] Specifically, when implementing the bearing stiffness detection method of the present application, the shaft 110 is rotatably connected to the matching bearing 120; a rectangular coordinate system is established with the center of the radial section of the bearing 120 as the origin, and the rectangular coordinate system includes two coordinate axes, and each intersection of the coordinate axis and the bearing 120 is provided with a distance sensor, and the four distance sensors together constitute a distance sensor group 140; a force sensor is provided on each bearing shell of the bearing to detect the force applied to the corresponding bearing shell from the shaft 110 during movement, and the force sensors on all bearing shells together constitute a force sensor group 130; the force sensor group 130 and the distance sensor 140 send the measured data to the processor 150 for analysis and processing to generate a bearing stiffness detection result.

[0076] In this embodiment, it will be described from the perspective of a processor, which can be integrated into a bearing stiffness detection device. First, the force exerted on each bearing shell on the bearing in the target motion cycle can be obtained. The target motion cycle is the time for the shaft to rotate one circle, and the target motion cycle includes multiple sampling moments. Further, the vector trajectory of the resultant force of the bearing in the target motion cycle is determined based on the force, and the vector trajectory is vector-decomposed to obtain the load at each sampling moment. Then, the motion trajectory of the axis relative to the origin in the target motion cycle is obtained, and the motion trajectory is vector-decomposed to obtain the motion component at each sampling moment. Finally, the bearing stiffness at each sampling moment in the target motion cycle is obtained based on the load and the motion component.

[0077] like Figure 1b As shown, the process of the bearing stiffness detection method in this embodiment may include steps S110 to S140, wherein the bearing is rotatably connected to a matching shaft, and a rectangular coordinate system is established with the center of the radial section of the bearing as the origin:

[0078] S110 , obtaining the force exerted on each bearing shell of the bearing in a target motion cycle, where the target motion cycle is the time it takes for the shaft to rotate once, and the target motion cycle includes multiple sampling moments.

[0079] Generally speaking, a force sensor can be installed on each bearing shell of the bearing to measure the force exerted on each bearing shell on the bearing during the target motion cycle; the force sensor can be a pressure sensor, which converts the force signal exerted on the bearing shell during the movement of the hydro-turbine generator set into a digital signal and outputs it to the processor; in some embodiments, the force sensor can be set at the connection between the bearing shell and the bearing seat to measure the force signal more accurately.

[0080] The total duration of the target motion cycle is the time it takes for the shaft to rotate once. The target motion cycle includes multiple sampling moments, which can be evenly distributed within the target motion cycle at regular intervals. In some embodiments, the shaft's rotational speed is constant, and the sampling moments, which are measured in time units, can be converted to sampling in angle units based on the shaft's rotational speed. For example, in a target motion cycle with a total duration equal to the time it takes for the shaft to rotate once, assuming that the shaft requires 60 seconds to rotate once, 240 sampling moments can be taken at 0.25 second intervals, equivalent to sampling once every 1.5° of shaft rotation.

[0081] S120 , determining a vector trajectory of the resultant bearing force within the target motion cycle according to the acting force, and performing vector decomposition on the vector trajectory to obtain the load at each sampling moment.

[0082] During the operation of the hydro-generator set, the shaft will generate a force on the bearing, and the generated force is mainly received by the bearing bushes on the bearing. In fact, at a certain operating moment, since the bearing is filled with cooling oil, an oil film will be generated between the bearing bushes and the shaft during movement. The bearing bushes and the oil film can be regarded as a preload spring connecting the bearing and the shaft. The force F generated by this i , which is the force exerted by the shaft on the bearing, where i is any value between 1 and n, and n is the total number of bearings on the bearing. By projecting the force exerted on each bearing onto the established rectangular coordinate system, we can obtain F i Component force F in the X-axis direction ix and the component force F on the Y axis iy By summing up all the forces on the X-axis, we can get the component force F of the bearing force F in the X-axis direction. x , and the component force F in the Y-axis direction can be obtained by summing up all the component forces on the Y-axis y , F x With F y The resultant bearing force F can be obtained by synthesis, and F represents the total force exerted by the shaft on the bearing at the current moment. Figure 2a As shown, there are 16 bearing shells on the bearing. 18 Projecting onto the coordinate axis, summing the projected forces gives F x With F y , further F x With F y The resultant bearing force F at the sampling moment is obtained by synthesis.

[0083] By using the above method, the bearing resultant force at each sampling moment within the target motion cycle can be calculated. The obtained bearing resultant force is reflected in the established rectangular coordinate system as a vector with different lengths and directions starting from the origin. By connecting the end points of the bearing resultant force vectors in the order of the bearing resultant force sampling, a closed figure can be obtained. The edge curve of the closed figure becomes the vector trajectory of the bearing resultant force within the target motion cycle. Figure 2b As shown in the figure, there are 360 ​​sampling moments in a target motion cycle. By connecting the end points of the bearing resultant force corresponding to each sampling moment in sequence, an irregular curve close to a circle can be obtained ( Figure 2b Interpolation and smoothing processing is performed in the unit: kN (kilonewton). The above irregular curve can be defined as the vector trajectory of the bearing resultant force during the target motion cycle.

[0084] In some embodiments, the load includes a dynamic load and a static load, and performing vector decomposition on the vector trajectory to obtain the load at each sampling moment includes the following steps A1 to A2:

[0085] A1. Determine the force balance point according to the vector trajectory;

[0086] A2. Based on the force balance point, perform vector decomposition on the bearing resultant force at each sampling moment to determine the dynamic load and static load at each sampling moment within the target motion cycle.

[0087] The force balance point, i.e., the centroid of the irregular figure formed by the vector trajectory, can be obtained by calculating the arithmetic mean of the coordinate components of the end points of the resultant force vectors of each bearing in the target motion cycle. Based on the obtained force balance point, the vector decomposition of the resultant force of the bearing at each sampling moment can be as follows: Figure 3 As shown. Figure 3 In the figure, the bearing resultant force at a certain sampling moment is given. By connecting the origin and the force balance point, and the force balance point and the end point of the bearing resultant force, the bearing resultant force at the sampling moment can be decomposed into the dynamic load F at the sampling moment. d With static load F s ; Among them, the static load F generated by connecting the origin and the force balance point s Represents the force that does not change with time during motion; the dynamic load F generated by connecting the force balance point and the end point of the bearing resultant force d Represents a force that changes rapidly with time during motion.

[0088] S130 , obtaining a motion trajectory of the axis relative to the origin within a target motion period, and performing vector decomposition on the motion trajectory to obtain motion components at each sampling moment.

[0089] When the hydro-generator set is running, in addition to the slight deviation of the shaft due to various forces, the distance between the shaft and the bearing will also change accordingly due to the deformation caused by temperature, causing the axis center to shift relative to the origin defined by the center of the longitudinal section of the bearing during operation.

[0090] In some embodiments, the rectangular coordinate system includes two coordinate axes, and a distance sensor is provided at the intersection of each coordinate axis and the bearing. The acquisition of the motion trajectory of the axis center relative to the origin during the target motion cycle may include the following motion trajectory acquisition process S131 to S134:

[0091] S131 , calculating the thermal motion amount corresponding to the coordinate axis at each sampling moment in the target motion cycle according to the distance value acquired by the distance sensor.

[0092] The distance sensor can be an optical distance sensor, an ultrasonic distance sensor, or other types, and is used to instantly obtain the distance value between the distance sensor probe and the axis. Distance sensors typically acquire data at a certain sampling frequency, which can be set based on the sampling time of the target's motion cycle.

[0093] The thermal motion is used to reflect the relative diameter change between the shaft and the bearing seat under the action of the temperature at the target time point. Specifically, Figure 4a As shown, the shaft is located in the middle of the bearing seat. In the static state, the axis center of the shaft diameter section coincides with the center of the circle of the bearing seat diameter section. There is a certain gap between the inner ring of the bearing seat and the axis center. The image is only used to show the relative position relationship between the shaft and the bearing seat, and does not represent the real proportion. The actual gap size is much smaller than the ratio shown in the figure. The bearing seat body can be regarded as a circular cylinder, and the corresponding radial section of the bearing seat can be regarded as a circular ring. The geometric structure of the shaft can be regarded as a cylinder, and the corresponding radial section of the shaft can be regarded as a circle. The inner diameter of the above-mentioned circular ring must be larger than the diameter of the circle to reserve enough space for the shaft to rotate. Φ(t) is used to represent the inner diameter of the circular ring at the target time point. When t is 0, Φ(0) is used to represent the inner diameter of the circular ring in the initial state. It is used to represent the diameter of the circle at the target time point. When t is 0, that is, It is used to represent the diameter of the circle in the initial state. Therefore, the thermal motion is defined as the change in the inner diameter of the bearing seat minus the change in the shaft diameter at time t, that is, the following formula (1):

[0094]

[0095] However, in the actual operation of a hydro-turbine generator set, it is difficult to calculate the thermal motion directly according to formula (1) due to the large difference in the magnitude of the change in the structure of the shaft system composed of the shaft and its corresponding bearing seat, the shaft diameter and the diameter of the bearing seat relative to the temperature, and the uneven deformation caused by temperature. Therefore, the present application adopts a rectangular coordinate system with the center of the radial section of the bearing seat as the origin. The rectangular coordinate system includes two coordinate axes, and each intersection of the coordinate axis and the bearing seat is provided with a distance sensor. The thermal motion is indirectly calculated based on the distance value measured by the distance sensor. Specifically, as Figure 4b As shown, two distance sensors are installed at the intersection of the X-axis of the rectangular coordinate system and the inner ring, which can be recorded as distance sensor 1 and distance sensor 2. At the target time point, the distance value measured by distance sensor 1 is recorded as δ1(), and the distance value measured by distance sensor 2 is recorded as δ2(). The above distance values ​​can be used to indirectly obtain the thermal motion amount in the X-axis direction at the target time point, and the thermal motion amount in the Y-axis direction can be obtained accordingly.

[0096] In some embodiments, the distance value includes an initial distance and a target time point movement distance, wherein the initial distance is the distance value measured by the distance sensor when the unit has just been installed and has not yet started running. Figure 4bFor the two sensors located in the X-axis direction, the initial distances measured can be recorded as δ1(0) and δ2(0) respectively; the movement distance at the target time point is the distance value measured by the two sensors at the target time point, which can be recorded as δ1() and δ2() respectively, where t is not equal to 0. The thermal motion is calculated using the following formula (2):

[0097] Δt=[δ1(t)+δ2(t)]-[δ1(0)+δ2(0)] (2)

[0098] S132: Calculate the axis center offset of the axis in the direction of the coordinate axis according to the distance value obtained by the distance sensor under the same coordinate axis and the thermal motion.

[0099] Among them, the absolute value of the axis center offset is the projection distance of the axis center of the axis in the rectangular coordinate system in the direction of the coordinate axis at the target time point. The axis center offset can have a positive or negative sign, and the positive or negative sign is used to indicate that the projection position of the axis center on the coordinate axis is on the positive axis or the negative axis.

[0100] Specifically, since the reference distance sensor is any one of the distance sensors corresponding to the coordinate axis, in this embodiment, distance sensor 1 is set as the reference distance sensor, and the offset of the axis center on the X-axis at the target time point can be calculated according to the following formula (3):

[0101] X t =δ1(t)-δ1(0)-Δt / 2 (3)

[0102] The calculated offset x of the axis on the X axis t It can have positive and negative signs. When the sign is positive, it means that the projection position of the axis on the X-axis is located on the positive axis of the X-axis, and when the sign is negative, it means that the projection position of the axis on the X-axis is located on the negative axis of the X-axis. It can be understood that in the formula (3) for calculating the offset, sensor 2 can be set as the reference distance sensor. In this case, the calculation formula for the offset on the X-axis is:

[0103] X t =δ2(t)-δ2(0)-Δt / 2

[0104] In this case, when the sign of the offset is positive, it indicates that the projection of the axis on the X-axis is located on the negative axis of the X-axis, while when the sign is negative, it indicates that the projection of the axis on the X-axis is located on the positive axis of the X-axis. The selection of the reference distance sensor is determined by the technician and should not be construed as a limitation of this application. The axis offset on the Y-axis can be calculated using the same formula based on the distance value measured by the Y-axis distance sensor and the thermal motion in the Y-axis direction, and will not be further described here.

[0105] S133. Obtain the offset position of the axis relative to the origin at each sampling moment according to the axis offset.

[0106] Specifically, for example, at a certain sampling moment, the distance sensor at the negative axis position of the X axis is used as the reference distance sensor, and the x t is a negative value; take the distance sensor at the negative axis position of the Y axis as the reference distance sensor, and calculate the offset y of the axis center on the Y axis t It is also a negative value; it can be determined that the offset position of the axis relative to the origin at the target time point is located in the third quadrant of the rectangular coordinate system, and the coordinates are (-| t |,-| t |).

[0107] S134. Obtain a motion trajectory of the axis relative to the origin within the target motion cycle according to the offset position.

[0108] The motion trajectory can be obtained by connecting the axis positions of adjacent time points within the detection period, for example, by connecting the coordinate points (x t ,y t ) and the coordinate point (x t+1 ,y t+1 ), where t = 1, 2…, n-1, and n is the total number of time points in the detection period. In some embodiments, the motion trajectory can be made smoother by interpolation, and the interpolation method can be neighbor interpolation, median interpolation, Lagrange interpolation, etc., or a combination of multiple methods. It is understood that whether the motion trajectory is smoothed and the smoothing method used for smoothing are determined by the needs of technicians and should not be understood as limiting the present application.

[0109] In some embodiments, the motion component includes a dynamic component and a static component, and performing vector decomposition on the motion trajectory to obtain the motion component at each sampling moment includes the following steps B1 to B2:

[0110] B1. determining a static equilibrium point according to the motion trajectory;

[0111] B2. Based on the static balance point, perform vector decomposition on the axis displacement vector at each sampling moment to determine the dynamic component and the static component at each sampling moment within the target motion cycle.

[0112] The static equilibrium point, i.e., the centroid of the irregular figure formed by the motion trajectory, can be obtained by calculating the arithmetic mean of the coordinate components of the end points of each axis offset vector in the target motion cycle. Based on the obtained static equilibrium point, the vector decomposition of the axis offset vector at each sampling moment can be as follows: Figure 5 As shown. Figure 5 In the figure, the axis offset vector at a certain sampling moment is given. By connecting the origin and the static equilibrium point, and the static equilibrium point and the end point of the axis offset vector, the axis offset vector at the sampling moment can be decomposed into the dynamic component r at the sampling moment. d With static component r s ; Among them, the static component r generated by connecting the origin and the force balance point s Represents the offset that does not change with time during motion; the dynamic component r generated by connecting the static equilibrium point and the end point of the axis offset vector d Indicates an offset that changes rapidly over time during motion.

[0113] S140. Obtain the bearing stiffness at each sampling moment in the target motion cycle according to the load and motion component.

[0114] In some embodiments, the step of obtaining the bearing stiffness at each sampling moment in the target motion cycle according to the load and motion component may include the following bearing stiffness calculation steps S141 to S145:

[0115] S141, determining the angle between the dynamic load and the dynamic vector of the dynamic component;

[0116] S142, calculating dynamic stiffness according to the motion vector angle and the motion component;

[0117] S143, determining a static vector angle between the static load and the static component;

[0118] S144, calculating the static stiffness according to the static vector angle and the static component;

[0119] S145. Determine the bearing stiffness at each sampling moment in the target motion cycle according to the dynamic stiffness and the static stiffness.

[0120] Specifically, for example, the dynamic vector angle between the dynamic load and the dynamic component can be calculated according to the vector angle calculation formula, which is recorded as α; similarly, the static vector angle between the static load and the static component can be obtained, which is recorded as θ; further, the dynamic stiffness k can be obtained by the following formula (4): d :

[0121] k d =|F d |cosα / |r d |, (4)

[0122] The static stiffness k is obtained by the following formula (5): s :

[0123] k s =|F s |cosθ / |rs |, (5)

[0124] Among them, the dynamic stiffness k d The meaning is: the degree to which the axis deviates from the equilibrium position under the action of dynamic load; the static stiffness k s The meaning of is: the degree to which the static equilibrium point deviates from the bearing center under the action of static load. The direction of the dynamic stiffness obtained is the same as r d The direction of the static stiffness is the same as r s The directions are the same, and the bearing stiffness k at the sampling moment can be obtained by vector synthesis of the two parameters according to the directions.

[0125] In some embodiments, the target motion cycle is any one of multiple motion cycles included in the detection cycle. After obtaining the bearing stiffness at each sampling moment in the target motion cycle based on the load and motion component, the method further includes the following loop process:

[0126] Determining whether the target motion cycle is the last motion cycle of the detection cycle;

[0127] If not, the next movement cycle is used as the target movement cycle;

[0128] Jump to step: obtain the force exerted on each bearing shell of the bearing during the target motion cycle;

[0129] If so, the bearing stiffness curve of each movement cycle in the detection cycle is obtained based on the total bearing stiffness.

[0130] Among them, the method for judging whether the target motion cycle is the last motion cycle of the detection cycle can be: setting a virtual counter, and each time the axis rotates one circle, the value of the virtual counter is increased by one, and when the value of the virtual counter reaches the total number of motion cycles in the detection cycle, it can be judged that the target motion cycle is the last motion cycle of the detection cycle.

[0131] Among them, the bearing stiffness curve can be obtained by establishing a bearing stiffness-time point coordinate system, where the horizontal axis is the time point counted by time interval, n is the total number of time points in the target motion cycle, and the vertical axis is the value of the bearing stiffness, that is, the coordinates of the midpoint of the coordinate system are (t, |k|), t = 1, 2…, n; the bearing stiffness curve can be obtained by connecting the points in sequence according to the time point order.

[0132] In some embodiments, the edge motion curve can be made smoother by interpolation. The interpolation method is the same as that described above and will not be repeated here. In some embodiments, the bearing stiffness curve can be converted into polar coordinates according to the method of converting time sampling into angle sampling described above. The converted coordinates are (β,|k|), where β is the force angle of the bearing. The converted bearing stiffness curve is as follows: Figure 6 As shown, the change of bearing stiffness in the target motion cycle can be more clearly shown. The farther the point on the curve is from the origin, the higher the bearing stiffness at that time. In some embodiments, since the static stiffness does not change with time in a motion cycle, the dynamic stiffness curve in the target motion cycle can be displayed on the same coordinate system according to the needs of technicians, that is, the coordinates of the points on the curve are (β,|k d |).

[0133] In some embodiments, after determining the bearing stiffness at each sampling moment in the target motion cycle based on the dynamic stiffness and the static stiffness, the method of the present application may further include the following damping coefficient calculation processes C1 to C4:

[0134] C1. Calculating the stiffness force at each sampling moment according to the bearing stiffness;

[0135] C2. For the stiffness force at each sampling moment, calculate the velocity direction force based on the stiffness force and the bearing force;

[0136] C3. Calculating the axis velocity vector according to the motion trajectory;

[0137] C4. Calculate a damping coefficient corresponding to the sampling moment according to the velocity direction force and the axis velocity vector, where the damping coefficient reflects the effect of the bearing resultant force on the shaft.

[0138] From the above, we know that the bearing resultant force F is the force exerted by the shaft on the bearing during the motion process, and -F is the force exerted by the bearing on the shaft during the motion process. Figure 7a As shown, -F can be decomposed into the stiffness force F in the axial displacement direction stiff , bearing damping force F in the direction of axis speed damp And the tangential dynamic stiffness generating force F in the direction of the axis velocity Tang Among them, F damp It is the force generated by bearing damping, and the direction of the force is always the same as the axis velocity vector Opposite direction; F Tang is the force generated by the tangential stiffness, and Sometimes the directions are the same, sometimes opposite. is the velocity vector of the axis motion at the sampling moment, which can be obtained by calculating the displacement per unit time according to the motion trajectory.

[0139] In actual operation, it is usually difficult to directly calculate the two components of force in the direction of the axis velocity. Since the stiffness force is known, it can be calculated according to the following formula (6):

[0140] F stiff =-kr (6) In formula (6), k is the bearing stiffness and r is the motion vector. Since the direction of the force is fixed, the sum of the two component forces can be directly calculated based on the decomposition of the force, which is recorded as the velocity direction force. The comprehensive effect of the velocity direction force in the velocity direction, i.e., the damping coefficient c, can be obtained according to the following formula (7):

[0141]

[0142] The damping coefficient c reflects the effect of the bearing force on the shaft in the direction of the axis movement speed, such as Figure 7b The damping coefficient time domain diagram shown in the figure shows the sampling time within a motion cycle on the horizontal axis and the damping coefficient value (unit: MN·s / m) on the vertical axis. When the damping coefficient is positive, it means that the bearing force is doing negative work on the shaft; when the damping coefficient is negative, it means that the bearing force is doing positive work on the shaft.

[0143] In some embodiments, after obtaining the bearing stiffness curve of each motion cycle in the detection cycle based on the total bearing stiffness, the bearing stiffness detection method further includes the following steps D1 to D3 of adjusting the bearing operating state based on the detected bearing stiffness:

[0144] D1. Establishing a bearing stiffness model according to the bearing stiffness curve;

[0145] D2. Comparing the bearing stiffness model with a standard model to obtain a comparison result;

[0146] D3. Adjust the operating state according to the comparison result.

[0147] By acquiring bearing stiffness curves obtained from multiple motion cycles during the detection cycle, a bearing stiffness model can be established based on the above data to represent the bearing stiffness corresponding to different axis positions during the operation of the hydro-turbine generator set. The standard model is the bearing stiffness of the bearing under preset standard conditions. The preset standard conditions can be constant temperature, uniform force, etc., reflecting the bearing stiffness under standard conditions. When the comparison result shows that the bearing stiffness at a certain offset position is much smaller than the stiffness of the preset standard model, it can be considered that the ability to resist elastic deformation under force at this time is low, and the operating state of the hydro-turbine generator set needs to be adjusted to improve the operating stability of the hydro-turbine generator set. For example, the bearing stiffness can be changed by adjusting the bearing temperature by changing the cooling oil temperature. When other conditions remain unchanged, the lower the bearing seat temperature, the higher the bearing stiffness.

[0148] In an embodiment of the present application, a method for calculating the bearing stiffness based on the motion trajectory obtained by the distance sensor group and the vector trajectory obtained by the force sensor can accurately obtain the bearing stiffness in operation when the shaft system vibrates, so that technicians can adjust the operating status of the hydropower unit according to the stiffness to ensure the normal operation of the hydropower unit.

[0149] Example 2

[0150] refer to Figure 8a , shows a schematic diagram of an application scenario of a specific embodiment of the bearing stiffness detection method in this embodiment. Figure 8a As shown, this embodiment is applied to a hydroelectric generator set 800, which includes a processor 810 connected to at least one distance sensor group 820 and a force sensor group 830. The distance sensor group 820 is disposed on a bearing 840 and is used to obtain distance values ​​during the operation of the hydroelectric generator set. A rectangular coordinate system is established with the center of the radial section of the bearing 840 as the origin. The rectangular coordinate system includes two coordinate axes, and a distance sensor is disposed at the intersection of each coordinate axis and the bearing 840. Together, all distance sensors constitute the distance sensor group 820. The bearing 840 has multiple bearing shells, each of which is equipped with a force sensor. Together, all force sensors constitute the force sensor group 830.

[0151] Processor 810: controls the distance sensor group 820 and the force sensor group 830 to start data acquisition; obtains the distance value transmitted by the distance sensor group 820; calculates the thermal motion during the detection period based on the distance value; calculates the axial center offset of the axis based on the distance value and the thermal motion; calculates all offset positions of the axis relative to the origin during the detection period based on the axial center offset; calculates the running trajectory of the offset position during the detection period; obtains and analyzes the force signal transmitted by the force sensor group 830 to obtain the force borne by each bearing shell on the bearing during the detection period; determines the vector trajectory of the resultant bearing force during the detection period based on the force; performs vector decomposition on the vector trajectory to obtain the load; performs vector decomposition on the running trajectory to obtain the motion component; obtains the bearing stiffness based on the load and the motion component.

[0152] The distance sensor group 820 collects data in response to the instructions of the processor 810 and transmits the detected distance value to the processor 810 .

[0153] The force sensor group 830 collects data in response to the instructions of the processor 810 and transmits the detected force signal to the processor 810 .

[0154] In this embodiment, the description will be made from the perspective of a bearing stiffness detection device.

[0155] like Figure 8b As shown, the implementation subject of the bearing stiffness detection method in this embodiment is a processor, and the process of the bearing stiffness detection method is as follows: Steps S801 to S809:

[0156] S801, controlling the distance sensor group and the force sensor group to start data collection;

[0157] S802, obtaining a distance value transmitted by the distance sensor group, and calculating the amount of thermal motion within the detection period according to the distance value;

[0158] S803, calculating the axis center offset of the axis according to the distance value and the thermal motion;

[0159] S804, calculating all offset positions of the axis relative to the origin within the detection period based on the axis center offset;

[0160] S805, running trajectory of the offset position within the detection period;

[0161] S806, acquiring and analyzing the force signal transmitted by the force sensor group to obtain the force exerted on each bearing shell of the bearing during the detection period;

[0162] S807, determining a vector trajectory of the bearing resultant force during the detection period according to the acting force;

[0163] S808, performing vector decomposition on the vector trajectory to obtain a load;

[0164] S809, performing vector decomposition on the running trajectory to obtain motion components;

[0165] S810: Obtain bearing stiffness according to the load and motion component.

[0166] The steps included in the bearing stiffness detection method of this embodiment are basically consistent with the specific execution methods of the steps in Example 1, and will not be repeated here.

[0167] From the above, it can be seen that in the embodiment of the present application, the method of calculating the bearing stiffness based on the motion trajectory obtained by the distance sensor group and the vector trajectory obtained by the force sensor can accurately obtain the stiffness of the bearing in operation when the shaft system vibrates, so that technicians can adjust the operating status of each bearing according to the stiffness to ensure the normal operation of the entire hydropower unit.

[0168] In order to better implement the above method, an embodiment of the present application provides a bearing stiffness detection device, which can be specifically integrated into an electronic device, which can be a terminal, server or other device. The electronic device is connected to the bearing stiffness detection device, and controls the bearing stiffness detection device to perform a preset detection action through instructions. In some embodiments, the terminal can be an independent device, such as a mobile phone, a tablet computer, a smart Bluetooth device, a laptop computer, or a personal computer (PC) and other devices, and the device can serve as a memory and a processor at the same time. The device is used as a memory to store instructions, and the device also serves as a processor to load instructions from the memory to execute the bearing stiffness detection method of the present application; the device is connected to a bearing stiffness detection device with a bearing stiffness detection function, and transmits the instructions to the bearing stiffness detection device so that it can parse the instructions and perform corresponding detection actions.

[0169] In some embodiments, the terminal can be a main control panel, which is used to implement human-computer interaction and is connected to a bearing stiffness detection device having a bearing stiffness detection function. The main control panel may include a microprocessor, multiple controls, a display screen, etc. The controls are used to generate relevant operating instructions in response to user operations, so that the bearing stiffness detection device performs corresponding actions according to the operating instructions; the display screen is used to display various parameters generated by the bearing stiffness detection device during operation; the microprocessor can store the bearing stiffness detection method of the present application and generate corresponding bearing stiffness detection instructions, so that the bearing stiffness detection device can interpret the instructions and perform corresponding detection actions.

[0170] For example, in this embodiment, the method of the embodiment of the present application will be described from the perspective of the bearing stiffness detection device, taking the bearing stiffness detection device specifically integrated into the bearing stiffness detection equipment as an example to describe in detail.

[0171] For example, Figure 9 As shown, the bearing stiffness detection device 900 may include a force unit 910 , a vector trajectory unit 920 , a motion trajectory unit 930 , and a bearing stiffness unit 940 .

[0172] The present application also provides a bearing stiffness detection device, which is characterized by comprising:

[0173] A force unit 910 is used to obtain the force exerted on each bearing shell of the bearing during a target motion cycle, wherein the target motion cycle is the time it takes for the shaft to rotate once and includes multiple sampling moments;

[0174] A vector trajectory unit 920 is configured to determine a vector trajectory of the resultant bearing force within the target motion cycle based on the acting force, and perform vector decomposition on the vector trajectory to obtain the load at each sampling moment;

[0175] The motion trajectory unit 930 is used to obtain the motion trajectory of the axis relative to the origin within the target motion period, and perform vector decomposition on the motion trajectory to obtain the motion components at each sampling moment;

[0176] The bearing stiffness unit 940 is used to obtain the bearing stiffness at each sampling moment in the target motion cycle according to the load and motion components.

[0177] In some embodiments, the load includes a dynamic load and a static load, and the vector trajectory unit further includes:

[0178] a force balance point subunit, configured to determine a force balance point according to the vector trajectory;

[0179] The force decomposition subunit is used to perform vector decomposition on the bearing resultant force at each sampling moment based on the force balance point, and determine the dynamic load and static load at each sampling moment in the target motion cycle.

[0180] In some embodiments, the motion component includes a dynamic component and a static component, and the motion trajectory unit further includes:

[0181] a static balance point subunit, configured to determine a static balance point according to the motion trajectory;

[0182] The motion decomposition subunit is used to perform vector decomposition on the axis displacement vector at each sampling moment based on the static balance point, and determine the dynamic component and the static component at each sampling moment in the target motion cycle.

[0183] In some embodiments, the bearing stiffness unit further comprises:

[0184] A first angle subunit, configured to determine an angle between the dynamic load and the dynamic vector of the dynamic component;

[0185] A dynamic stiffness subunit, configured to calculate the dynamic stiffness based on the motion vector angle and the motion component;

[0186] A second angle subunit, configured to determine a static vector angle between the static load and the static component;

[0187] a static stiffness subunit, configured to calculate the static stiffness based on the static vector angle and the static component;

[0188] The bearing stiffness at each sampling moment in the target motion cycle is determined according to the dynamic stiffness and the static stiffness.

[0189] In some embodiments, the bearing stiffness detection device further includes:

[0190] A stiffness force unit, used to calculate the stiffness force at each sampling moment according to the bearing stiffness;

[0191] The velocity direction force unit is used to calculate the velocity direction force based on the stiffness force and the bearing force at each sampling moment;

[0192] A velocity vector unit, configured to calculate an axis velocity vector according to the motion trajectory;

[0193] The damping coefficient unit is used to calculate the damping coefficient corresponding to the sampling moment according to the velocity direction force and the axis velocity vector, and the damping coefficient reflects the effect of the bearing resultant force on the shaft.

[0194] In some embodiments, the rectangular coordinate system includes two coordinate axes, and a distance sensor is provided at the intersection of each coordinate axis and the bearing. The motion trajectory unit further includes:

[0195] a thermal motion quantum unit, configured to calculate the thermal motion amount corresponding to the coordinate axis at each sampling moment within the target motion cycle according to the distance value obtained by the distance sensor;

[0196] An offset quantum unit, configured to calculate an axis center offset of the axis in the direction of the coordinate axis based on the distance value obtained by the distance sensor under the same coordinate axis and the thermal motion;

[0197] An offset position subunit, configured to obtain an offset position of the axis relative to the origin at each sampling moment according to the axis offset;

[0198] The motion trajectory subunit is used to obtain the motion trajectory of the axis relative to the origin within the target motion cycle according to the offset position.

[0199] In some embodiments, the target motion cycle is any one of the multiple motion cycles included in the detection cycle, and the bearing stiffness detection device further includes:

[0200] a judging unit, configured to judge whether the target motion cycle is the last motion cycle of the detection cycle;

[0201] Jump unit, used for:

[0202] If not, the next movement cycle is used as the target movement cycle;

[0203] Jump to step: obtain the force exerted on each bearing shell of the bearing during the target motion cycle;

[0204] Stiffness curve elements for:

[0205] If so, the bearing stiffness curve of each movement cycle in the detection cycle is obtained based on the total bearing stiffness.

[0206] In specific implementation, the above units can be implemented as independent entities, or can be arbitrarily combined to be implemented as the same or several entities. The specific implementation of the above units can be found in the previous method embodiments and will not be repeated here.

[0207] From the above, it can be seen that the bearing stiffness detection device provided in this application can calculate the bearing stiffness based on the motion trajectory obtained by the distance sensor group and the vector trajectory obtained by the force sensor. When the shaft system vibrates, the bearing stiffness in operation can be accurately obtained, so that technicians can adjust the operating status of the hydropower unit according to the stiffness to ensure the normal operation of the hydropower unit.

[0208] An embodiment of the present application also provides a bearing stiffness detection system, which can be a terminal, server or other device.

[0209] For example, the terminal can be a mobile phone, a tablet computer, a smart Bluetooth device, a laptop computer, a personal computer, or other devices; the server can be a single server or a server cluster consisting of multiple servers.

[0210] In this embodiment, the bearing stiffness detection system of this embodiment is a server as an example for detailed description, for example, Figure 10 As shown, it shows a schematic diagram of the structure of the server involved in the embodiment of the present application, specifically:

[0211] The bearing stiffness detection system may include one or more processors 1001 of processing cores, one or more computer-readable storage media memories 1002, a power supply 1003, an input module 1004, and a communication module 1005. Those skilled in the art will appreciate that Figure 10 The bearing stiffness detection system structure shown in the figure does not constitute a limitation on the bearing stiffness detection system, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0212] Processor 1001 is the control center of the bearing stiffness detection system. It connects all components of the entire bearing stiffness detection system using various interfaces and circuits. By running or executing software programs and / or modules stored in memory 1002 and accessing data stored in memory 1002, it performs various functions of the bearing stiffness detection system and processes data, thereby providing overall monitoring of the bearing stiffness detection system. In some embodiments, processor 1001 may include one or more processing cores. In some embodiments, processor 1001 may integrate an application processor and a modem processor. The application processor primarily handles the operating system, user interfaces, and application programs, while the modem processor primarily handles wireless communications. It is understood that the modem processor may not be integrated into processor 1001.

[0213] The memory 1002 can be used to store software programs and modules. The processor 1001 executes various functional applications and data processing by running the software programs and modules stored in the memory 1002. The memory 1002 may mainly include a program storage area and a data storage area. The program storage area may store an operating system, at least one application required for a function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created based on the use of the bearing stiffness detection system, etc. In addition, the memory 1002 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage device. Accordingly, the memory 1002 may also include a memory controller to provide the processor 1001 with access to the memory 1002.

[0214] The bearing stiffness detection system also includes a power supply 1003 for supplying power to various components. In some embodiments, the power supply 1003 can be logically connected to the processor 1001 via a power management system, thereby enabling the power management system to manage charging, discharging, and power consumption. The power supply 1003 can also include one or more DC or AC power supplies, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and other arbitrary components.

[0215] The bearing stiffness detection system may further include an input module 1004 , which may be configured to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function controls.

[0216] The bearing stiffness detection system may further include a communication module 1005. In some embodiments, the communication module 1005 may include a wireless module. The bearing stiffness detection system may utilize the wireless module of the communication module 1005 to perform short-range wireless transmission, thereby providing users with wireless broadband Internet access. For example, the communication module 1005 may be used to help users send and receive emails, browse web pages, and access streaming media.

[0217] Although not shown, the bearing stiffness detection system may further include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 1001 in the bearing stiffness detection system will load the executable files corresponding to one or more application processes into the memory 1002 according to the following instructions, and the processor 1001 will run the application stored in the memory 1002 to implement various functions as follows:

[0218] Obtaining the force exerted on each bearing shell of the bearing during a target motion cycle, wherein the target motion cycle is the time for the shaft to rotate once, and the target motion cycle includes multiple sampling moments;

[0219] Determine the vector trajectory of the resultant force of the bearing within the target motion cycle according to the action force, and perform vector decomposition on the vector trajectory to obtain the load at each sampling moment;

[0220] Obtaining a motion trajectory of the axis relative to the origin within a target motion period, and performing vector decomposition on the motion trajectory to obtain motion components at each sampling moment;

[0221] The bearing stiffness at each sampling moment in the target motion cycle is obtained according to the load and motion component.

[0222] The specific implementation of the above operations can be found in the previous embodiments and will not be repeated here.

[0223] From the above, it can be seen that in the bearing stiffness detection system provided in the embodiment of the present application, the method of calculating the bearing stiffness based on the motion trajectory obtained by the distance sensor group and the vector trajectory obtained by the force sensor can accurately obtain the bearing stiffness in operation when the shaft system vibrates, so that technicians can adjust the operating status of the hydropower unit according to the stiffness to ensure the normal operation of the hydropower unit.

[0224] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be accomplished by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0225] To this end, an embodiment of the present application provides a computer-readable storage medium storing a plurality of instructions that can be loaded by a processor to execute the steps of any of the bearing stiffness detection methods provided in the embodiments of the present application. For example, the instructions can execute the following steps:

[0226] Obtaining the force exerted on each bearing shell of the bearing during a target motion cycle, wherein the target motion cycle is the time for the shaft to rotate once, and the target motion cycle includes multiple sampling moments;

[0227] Determine the vector trajectory of the resultant force of the bearing within the target motion cycle according to the action force, and perform vector decomposition on the vector trajectory to obtain the load at each sampling moment;

[0228] Obtaining a motion trajectory of the axis relative to the origin within a target motion period, and performing vector decomposition on the motion trajectory to obtain motion components at each sampling moment;

[0229] The bearing stiffness at each sampling moment in the target motion cycle is obtained according to the load and motion component.

[0230] Since the instructions stored in the storage medium can execute the steps in any bearing stiffness detection method provided in the embodiments of the present application, the beneficial effects that can be achieved by any bearing stiffness detection method provided in the embodiments of the present application can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0231] The above is a detailed introduction to a bearing stiffness detection method and device provided in an embodiment of the present application. Specific examples are used in this article to illustrate the principles and embodiments of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, based on the ideas of the present application, there will be changes in the specific embodiments and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A bearing stiffness detection method, characterized in that: The bearing is rotatably connected to a matching shaft, and a rectangular coordinate system is established with the center of the radial section of the bearing as the origin; The method comprises: Obtaining the force exerted on each bearing shell of the bearing during a target motion cycle, wherein the target motion cycle is the time for the shaft to rotate once, and the target motion cycle includes multiple sampling moments; Determine the vector trajectory of the resultant force of the bearing within the target motion cycle according to the action force, and perform vector decomposition on the vector trajectory to obtain the load at each sampling moment; Obtaining a motion trajectory of the axis relative to the origin within a target motion period, and performing vector decomposition on the motion trajectory to obtain motion components at each sampling moment; Obtaining the bearing stiffness at each sampling moment within the target motion cycle according to the load and motion component; The load includes dynamic load and static load; The performing vector decomposition on the vector trajectory to obtain the load at each sampling moment includes: determining a force balance point according to the vector trajectory; Based on the force balance point, vector decomposition is performed on the bearing resultant force at each sampling moment to determine the dynamic load and static load at each sampling moment within the target motion cycle; The motion component includes a dynamic component and a static component; The vector decomposition of the motion trajectory to obtain the motion components at each sampling moment includes: determining a static equilibrium point according to the motion trajectory; Based on the static balance point, performing vector decomposition on the axis displacement vector at each sampling moment to determine the dynamic component and the static component at each sampling moment within the target motion cycle; The obtaining of the bearing stiffness at each sampling moment in the target motion cycle according to the load and the motion component includes: Determining the angle between the dynamic load and the dynamic vector of the dynamic component; Calculating dynamic stiffness according to the motion vector angle and the motion component; determining a static vector angle between the static load and the static component; Calculating static stiffness according to the static vector angle and the static component; The bearing stiffness at each sampling moment in the target motion cycle is determined according to the dynamic stiffness and the static stiffness.

2. A bearing stiffness detection method according to claim 1, characterized in that: After determining the bearing stiffness at each sampling moment in the target motion cycle according to the dynamic stiffness and the static stiffness, the method further includes: Calculating the stiffness force at each sampling moment according to the bearing stiffness; For the stiffness force at each sampling moment, the velocity direction force is calculated based on the stiffness force and the bearing force; Calculating the axis velocity vector according to the motion trajectory; The damping coefficient corresponding to the sampling moment is calculated according to the velocity direction force and the axis velocity vector, and the damping coefficient reflects the effect of the bearing resultant force on the shaft.

3. A bearing stiffness detection method according to claim 1, characterized in that: The rectangular coordinate system includes two coordinate axes, and a distance sensor is provided at the intersection of each coordinate axis and the bearing; The obtaining of the motion trajectory of the axis relative to the origin within the target motion period includes: Calculating the thermal motion corresponding to the coordinate axis at each sampling moment within the target motion cycle according to the distance value obtained by the distance sensor; Calculating the axis center offset of the axis in the direction of the coordinate axis based on the distance value obtained by the distance sensor under the same coordinate axis and the thermal motion; Obtaining the offset position of the axis relative to the origin at each sampling moment according to the axis offset; The motion trajectory of the axis relative to the origin within the target motion cycle is obtained according to the offset position.

4. A bearing stiffness detection method according to any one of claims 1 to 2, characterized in that: The target motion cycle is any motion cycle among the multiple motion cycles included in the detection cycle, After obtaining the bearing stiffness at each sampling moment in the target motion cycle according to the load and motion component, the method includes: Determining whether the target motion cycle is the last motion cycle of the detection cycle; If not, the next movement cycle is used as the target movement cycle; Jump to step: obtain the force exerted on each bearing shell of the bearing during the target motion cycle; If so, the bearing stiffness curve of each movement cycle in the detection cycle is obtained based on the total bearing stiffness.

5. A bearing stiffness detection device, characterized in that: The bearing is rotatably connected to a matching shaft, and a rectangular coordinate system is established with the center of the radial section of the bearing as the origin. The bearing stiffness detection device includes: a force unit for obtaining the force exerted on each bearing shell of the bearing during a target motion cycle, wherein the target motion cycle is the time for the shaft to rotate once and includes a plurality of sampling moments; A vector trajectory unit is used to determine the vector trajectory of the bearing resultant force within the target motion cycle according to the action force, and perform vector decomposition on the vector trajectory to obtain the load at each sampling moment; A motion trajectory unit, configured to obtain a motion trajectory of the axis relative to the origin within a target motion period, and perform vector decomposition on the motion trajectory to obtain motion components at each sampling moment; A bearing stiffness unit, configured to obtain the bearing stiffness at each sampling moment within the target motion cycle according to the load and motion components; The load includes a dynamic load and a static load, and the vector trajectory unit further includes: a force balance point subunit, configured to determine a force balance point according to the vector trajectory; a force decomposition subunit, configured to perform vector decomposition of the bearing resultant force at each sampling moment based on the force balance point, and determine the dynamic load and static load at each sampling moment within the target motion cycle; The motion component includes a dynamic component and a static component, and the motion trajectory unit further includes: a static balance point subunit, configured to determine a static balance point according to the motion trajectory; a motion decomposition subunit, configured to perform vector decomposition on the axis displacement vector at each sampling moment based on the static balance point, and determine the dynamic component and the static component at each sampling moment within the target motion cycle; The bearing stiffness unit further includes: A first angle subunit, configured to determine an angle between the dynamic load and the dynamic vector of the dynamic component; A dynamic stiffness subunit, configured to calculate the dynamic stiffness based on the motion vector angle and the motion component; A second angle subunit, configured to determine a static vector angle between the static load and the static component; a static stiffness subunit, configured to calculate the static stiffness based on the static vector angle and the static component; The bearing stiffness at each sampling moment in the target motion cycle is determined according to the dynamic stiffness and the static stiffness.

6. A storage medium, characterized in that The storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute the bearing stiffness detection method according to any one of claims 1 to 4.

7. A bearing stiffness detection system, characterized in that: include: at least one processor; At least one memory is used to store at least one program; when the at least one program is executed by the at least one processor, the at least one processor implements the bearing stiffness detection method according to any one of claims 1 to 4.

Images