Method and system for monitoring a rotating electric machine

Abstract

The invention relates to a method for monitoring a rotating electrical machine (501), wherein - measurement data (507, 509) related to the operation of the machine are provided (100), - a dependency of an amplitude on a rotational speed is modeled (104) from the measurement data (507, 509) to obtain an amplitude rotational speed dependency model (201, 301, 401), - one or more rotational speed ranges (202, 302a, 302b, 302c, 402) are determined (105) in which the amplitude reaches a maximum (203, 303a, 303b, 303c, 403) of the amplitude based on the amplitude rotational speed dependency model (201, 301, 401), - for the determined rotational speed ranges (202, 302a, 302b, 302c, 402), a behavior of the amplitude according to the amplitude rotational speed dependency model (201, 301, 401) is compared to a resonance model to identify whether a resonance exists in the respective rotational speed range (202, 302a, 302b, 302c, 402), - the determined rotational speed ranges (202, 302a, 302b, 302c, 402) containing a resonance are output.

Description

Technical Field

[0001] The present invention relates to a method and system for monitoring rotating electric machines, wherein measurement data relating to the operation of the machine are provided.

[0002] Furthermore, the present invention relates to a computer program product comprising instructions that, when executed by a computer, cause the computer to perform the aforementioned method.

[0003] Furthermore, the present invention also relates to an apparatus for monitoring a rotating electric machine, wherein the apparatus includes a measuring device and the aforementioned system that can be assigned to the machine.

[0004] Furthermore, the present invention relates to a drive system comprising a rotary electric machine and the aforementioned device associated with the machine.

[0005] The present invention also relates to a simulation program product for simulating the operation of a rotating electric machine and for monitoring the simulated operation. Background Technology

[0006] DE 197 02 234 A1 discloses a method for monitoring and quality assessment of moving and / or rotating mechanical parts, performed by vibration analysis, wherein vibration is received by a vibration sensor and evaluated by evaluation logic circuitry. A signal portion attributable to damage to a machine part or range is evaluated within a pre-defined transition frequency band by comparing it with stored boundary values ​​to assess the threat or presence of damage or malfunction in the machine part. To enable automatic, differentiated monitoring across various rotational speeds, the monitoring frequency band tracks excessively high or low frequencies depending on the motion or rotational speed of the machine part to be monitored. Furthermore, an apparatus for performing this method is described.

[0007] DE 10 2007 039 699 A1 discloses a vibration level value for a monitoring device, wherein vibration levels in at least two frequency bands are detected at at least one location of the device, wherein boundary values ​​are calculated from vibration level values ​​detected in a first time range, particularly within a teaching period, and wherein vibration level values ​​detected in a second time range, particularly within normal operation, are monitored to be above or below the boundary values.

[0008] WO 2023 / 020698 A1 discloses a method for determining the operating state of a drive, particularly an electromechanical drive, which performs rotational motion with varying rotational frequencies during operation.

[0009] Rotating electric machines are widely used in many industrial sectors. When monitoring the operating status of these machines, vibration is one of the most important measurement parameters because, provided that sufficiently advanced measurement techniques are used and the measurement is performed at a close enough distance from the machine's mechanical components, it can effectively indicate potential faults and damage in the mechanical parts.

[0010] Therefore, many devices used for semi-automatic or fully automatic condition monitoring assess vibration data and levels to determine the "health" of a machine. A fundamental problem arises here: vibration measurements can be dependent on a variety of external factors, especially when measurements are not taken directly on mechanical components (e.g., on the machine's bearing housings). In particular, the load conditions of the machine, depending on the application in which it is used, significantly affect both amplitude and speed. A common cause of increased vibration levels in rotating electric machines is that their operating frequency approaches the mechanical resonant frequency. Mechanical resonance is known to occur when the vibration level of a mass or mechanical structure is amplified near its corresponding natural frequency. For rotating masses or rotating elements, such as those present in rotating electric machines, such as engines or (rotary) pumps, this typically occurs near critical speeds. Within these ranges, i.e., near critical speeds, increased amplitude is observed, leading to increased mechanical loads on machine components, such as those in engines or pumps. In this situation, machine operation can be affected, instability can occur, or even premature machine failure can result, for example, accelerated bearing fatigue and / or damage.

[0011] One feasible approach to address this problem, particularly in variable-frequency rotating electric machines capable of having multiple mechanical resonant frequencies, is to "reprogram" the inverter's control system to avoid identifying critical speeds at which mechanical resonance occurs. To identify these critical speeds, acceleration measurements are typically performed during the commissioning of the rotating electric machine. This involves accelerating the drive system, including the electronic control unit (e.g., the inverter) and the rotating electric machine (e.g., an engine, pump), from rest to a predetermined (e.g., nominal) speed within a time window of several minutes, experiencing all speeds present during operation, and measuring the amplitude of the vibration with respect to the speed throughout the test using, for example, a high-resolution vibration measurement device. This allows the resonant frequencies to be subsequently identified during commissioning and, accordingly, considered and, in particular, avoided, when programming the electronic control unit.

[0012] The aforementioned identification and avoidance of critical speeds, also known as resonant speeds, during commissioning aims to achieve the most stable resonant performance possible for rotating electric machines over extended periods of operation. However, field experience shows that the resonant range can completely shift or even change, thus deviating from the ideally stable resonant performance. Traditional solutions require periodic recalibration using specialized measuring equipment, particularly when one or more resonant ranges are confirmed to have shifted and / or changed. This is impractical, time-consuming, and costly. Furthermore, the values ​​set in the electronic control unit can also shift, causing the speed to enter the resonant range. Summary of the Invention

[0013] Therefore, the object of the present invention is to provide a method and system that can calculate the real-time changes in the resonant performance of a rotating electric machine in a simple manner.

[0014] According to the present invention, this objective is achieved by means of the method described at the beginning, - The evaluation component is used to model the correlation between the amplitude's rotational speed component and the rotational speed based on the measurement data, to obtain, for example, an amplitude-rotational speed component model. - An amplitude-based amplitude-speed component model determines one or more speed ranges in which the amplitude reaches its maximum value. -For a given speed range, preferably for each given speed range, the amplitude performance of the speed component model is compared with the resonance model to confirm whether resonance exists in the corresponding speed range. - The output is determined to include a rotational speed range that preferably contains exactly one resonance.

[0015] To confirm whether resonance exists within a given speed range, the similarity between the amplitude behavior within that speed range and the amplitude behavior in the resonance model can be measured using similarity measures, such as correlation quantities.

[0016] Sending can be done, for example, via an output interface, such as directly on a user or computer-executed assistant, which is used by the user to control the machine and assist the user in the production process.

[0017] Therefore, when these "resonant operating points" occur more frequently during operation, known and newly emerging resonant ranges can be identified, and users can be alerted in a timely manner.

[0018] In one implementation, it is possible to determine a resonance model from known resonance data of different (different sizes, different powers, etc.) rotating electric machines, that is, the correlation between the rotational speed component of the amplitude and the rotational speed for the corresponding machine, for example, a general resonance model in the form of a resonance curve for rotating electric machines.

[0019] The comparison with the resonance model is appropriate because otherwise it is possible that, although a maximum value is determined, that maximum value does not correspond to resonance, that is, the maximum value does not have the characteristic of exponential amplitude growth.

[0020] In one embodiment, it is possible to determine, for one or more, preferably each, determined speed range, whether the corresponding maximum value of the amplitude exceeds a predetermined value in the corresponding speed range, and to further consider the corresponding speed range only if the maximum value of the amplitude exceeds the predetermined value in that range.

[0021] In one implementation, it is possible to configure different defined speed ranges to contain different resonances.

[0022] In one implementation, it is possible to set at least one characteristic characterizing the corresponding resonance for each determined speed range containing resonance, preferably each determined speed range containing resonance, and output it, for example, via another interface.

[0023] For each identified resonance, at least one characteristic of that resonance can be communicated to the user of the machine. Here, for example, the operating time within the resonance range, the amplitude of the identified resonance, and a value characterizing the reliability of the determination of resonance within the corresponding speed range can be displayed as key performance indicators (KPIs). The user can thus understand the severity of the resonance and take one or more countermeasures, such as avoiding proximity to the resonance and / or inspecting the corresponding mechanical components.

[0024] In one embodiment, the rotary electric machine can be configured to be controlled according to a determined speed range that includes resonance, so as to avoid that resonant speed range.

[0025] In one implementation, the measurement data can be configured to include data regarding torque and amplitude, and preferably regarding rotational speed.

[0026] In one implementation, it can be configured such that, in order to obtain the amplitude rotational speed component model, -The torque amplitude model of the machine is determined based on the measurement data. The torque amplitude model models the amplitude according to the applied torque. - Using a torque amplitude model, the correlation between the rotational speed component of the amplitude and the rotational speed is modeled based on the measured data (e.g., using optimal satisfaction or similar methods).

[0027] Here, it is advantageous to set up the modeling of the correlation between the rotational speed component of the amplitude and the rotational speed using a torque amplitude model, which includes: determining the values ​​of the rotational speed component and, for example, the torque component of the amplitude based on the measurement data for preferably all data points. All three spatial components that can be used for vibration are determined.

[0028] In one embodiment, it is possible to set up measurement data by means of measurements performed during machine operation, and preferably at least two spatial components of the amplitude have been measured during the measurement.

[0029] In one implementation, the measurement is performed by attaching the measuring device wirelessly to the machine (wireless means that there is no wired connection between the device and the machine).

[0030] Furthermore, according to the present invention, this objective is achieved using the system for monitoring rotating electric machinery described at the beginning, wherein the system includes an input interface, an output interface, a processor, and a memory connected to the processor, wherein the memory is configured to hold one or more components executable by the processor, and wherein the processor is configured to execute one or more components accessible in the memory, thereby achieving this objective. - Input interface settings are used to receive measurement data related to machine operation. - The memory includes an evaluation component configured for: Based on the measurement data, the correlation between the amplitude rotational speed component and the rotational speed is modeled to obtain the amplitude rotational speed component model. An amplitude-based rotational speed component model determines one or more rotational speed ranges in which the amplitude reaches its maximum value (mathematically in a functional sense). Determine the resonance model for the rotating electric machine from the known resonance data of different rotating electric machines. For a given rotational speed range, the rotational speed component model and resonance model based on amplitude confirm whether resonance exists within the corresponding rotational speed range. - Output interface settings are used to output the determined speed range that includes resonance.

[0031] Furthermore, according to the present invention, this objective is achieved using the arrangement described at the beginning, - The measuring device is set up to collect measurement data related to the operation of the machine, and preferably transmits the measurement data to the system wirelessly.

[0032] Furthermore, according to the present invention, this objective is achieved using the simulation program product described at the beginning, - The simulation program product includes a digital twin of a machine, which has a static model and an electromagnetic model of the machine. The digital twin of the machine is capable of generating simulated measurement data through the simulation of the machine's operation, and in particular, simulating the machine's vibrations during simulation operation. - The simulation program product includes an evaluation component, and is configured to deliver simulated measurement data to the evaluation component, wherein... -Evaluation component configuration is used for: Based on simulated measurement data, the correlation between the amplitude's rotational speed component and the rotational speed is modeled to obtain the amplitude-rotational speed component model. An amplitude-based rotational speed component model determines one or more simulated rotational speed ranges, within which the amplitude reaches its maximum value. Determine the resonance model for the rotating electric machine from the known resonance data of different rotating electric machines. For a given speed range, the speed component model and resonance model based on amplitude confirm whether resonance exists within the corresponding simulated speed range. - The simulation program product configuration is used to output a determined simulated speed range that includes resonance.

[0033] Such pre-simulation can, for example, prevent potential actual damage to the machine. Attached Figure Description

[0034] The present invention will now be described and illustrated in detail with reference to the embodiments shown in the accompanying drawings. Herein are: Figure 1 A flowchart is shown for a monitoring method for rotating electric machines. Figures 2 to 4 Showing by means of Figure 1 The method determines the output speed range, and Figure 5 The diagram shows a production environment in which the methods and systems disclosed herein can be implemented.

[0035] In the embodiments and accompanying drawings, elements that are the same or have the same function can be labeled with the same reference numerals. The elements shown and their relative sizes are not intended to be proportional, but rather individual elements may be enlarged proportionally for better visibility and / or to improve understanding. Detailed Implementation

[0036] Figure 1 An exemplary flowchart for a method of monitoring rotating electric machines is shown.

[0037] In the first step 100, measurement data characterizing the operation of the machine is provided, for example, received.

[0038] Preferably, the measurement data includes data on torque and amplitude, and more preferably, data on the machine's rotational speed.

[0039] Preferably, the measurement data is collected through measurements performed during machine operation. This relates to a learning phase of the method, during which the machine learns. For example, it is possible to measure the machine's vibration and load condition (and preferably torque) over a period of several months, such as six months, wherein measurements can be performed every few minutes, such as every five minutes, i.e., the number of data points is sufficient.

[0040] The measurement can be carried out, for example, by measuring at least two, preferably three, spatial components of the amplitude.

[0041] Measurement data can be provided, for example, in the form of asynchronous raw data, particularly in the form of time series. In such cases, it is appropriate to preprocess the provided data. For example, based on the provided measurement data, asynchronous data in the measurement data can be synchronized by merging them into time series with the same timestamp, and / or the machine's downtime state, i.e., the state in which the machine is not running, can be filtered out.

[0042] After providing 100 measurement data and preferably performing preprocessing 101, the correlation between the amplitude rotational speed component and the rotational speed is modeled based on the measurement data to obtain an amplitude rotational speed component model.

[0043] For this purpose, for example, a torque-dependent model of the machine can be first performed 102. Here, a model is determined based on measurement data, which models the amplitude of the machine as a function of the torque applied to the machine (e.g., a Gaussian process). This yields a torque amplitude model of the machine.

[0044] Now, it is possible to apply a torque amplitude model to this, for example, by means of the optimal satisfaction method, to model the correlation between the rotational component of the amplitude and the rotational speed based on the measurement data.

[0045] Therefore, the values ​​of the rotational speed component and, for example, the torque component of the 103 amplitude can be determined first based on the measurement data for all preferred data points. This can be performed, for example, for all three spatial components of the vibration.

[0046] It is important to emphasize that the determination of the torque component value is optional, because there are applications where the torque component is always zero and can be ignored from the outset. For example, consider a fan with a torque-speed performance curve, where the torque can be precisely calculated from the speed and vice versa, thus making the amplitude of the torque component equal to zero.

[0047] Subsequently, the amplitude-speed component model can be obtained by modeling 104 its performance with respect to the speed range derived from the measured data from the determined values ​​of the speed component of the amplitude.

[0048] Based on the amplitude-speed component model, the model describes the behavior of amplitude as a function of speed within a measured speed range, identifying one or more speed ranges where the amplitude reaches its maximum value. Here, the maximum value is mathematically reached in a functional sense. In other words, the maximum value of the modeled vibration with respect to its speed is determined from the overall behavior of the speed component of the amplitude in the amplitude-speed component model. Here, multiple maximum values ​​can be confirmed. Therefore, the determined speed range represents a good candidate for the resonance range, which is, as previously mentioned, crucial for the machine user.

[0049] If not all defined speed ranges are subsequently considered, the method can be accelerated. This can be achieved using a corresponding optional filter 106.

[0050] For example, filter 106 can be configured to determine whether the maximum value of the amplitude in the corresponding speed range exceeds a predetermined value for one or more determined speed ranges, preferably for each determined speed range, and only consider the corresponding speed range if the maximum value of the amplitude exceeds the predetermined value in the range.

[0051] In other words, what can be checked in step 106 is whether the maximum value determined in step 105 is higher than the previously identified boundary value, which can be determined, for example, from the normal values ​​of vibration. For this, the ISO 10816 standard, for example, can be applied. If the maximum values ​​do not exceed the boundary values, they are no longer considered in further methods.

[0052] To confirm whether resonance actually exists within a given speed range, the amplitude performance of the speed component model based on amplitude (or the speed component model based on amplitude) is compared with the amplitude performance based on a predetermined resonance model within each determined speed range (107). Here, for example, it is possible to determine the degree of similarity between the machine's vibration performance and the resonance performance within the corresponding determined speed range. For this purpose, a similarity metric can be introduced, such as a correlation coefficient, or other similarity metrics, such as the Minkowski metric or a dynamic time warping metric.

[0053] In other words, for each of the maximum values ​​preferably above the boundary values ​​from step 106 determined in step 105, the general model of resonance can be compared with the (machine-specific) model of the rotational speed component of the vibration from step 104. Here, if multiple resonance ranges are determined in step 105, then multiple matching terms can appear across the entire measured rotational speed range.

[0054] Preferably, the different determined speed ranges contain multiple resonances.

[0055] This comparison is appropriate because what could otherwise happen is that the maximum value of the resonance is not determined, that is, the amplitude of the vibration does not have the characteristic of exponential growth.

[0056] Predetermined resonance models can be derived, for example, from known resonance data of various d-type rotary electric machines, which can be distinguished by size, power, etc. From these historical resonance data, the correlation between the rotational speed component of the vibration amplitude and the rotational speed can be determined for the corresponding machine, and based on this, a general resonance model in the form of, for example, resonance curves can be established for the rotary electric machine.

[0057] In other words, it is possible to model the general resonance behavior, such as the resonance curve, of the rotational speed component of the amplitude from known resonance data of various machines. For this purpose, for example, a Lorentz oscillator model can be used.

[0058] The output 108 is determined and includes a preferred speed range that is exactly one resonance.

[0059] This transmission can, for example, be performed by a user or a computer-enabled assistant. The assistant, for instance, is included in a data processing system and is used by the user to control machines and assist the user during the production process.

[0060] It is helpful to set the rotary electric machine to control according to a determined speed range that includes resonance, so as to avoid these resonant speed ranges during operation.

[0061] Advantageously, it is possible to set, for a determined speed range containing resonance, preferably for each determined speed range containing resonance, to determine and output at least one characteristic characterizing the corresponding resonance.

[0062] Advantageously, for each known resonance, at least one characteristic of that resonance can be communicated to the user. This characteristic may include, for example, one or more of the following variables, referred to as KPIs: the similarity of the matching item from step 107, i.e., the similarity of the resonance model to the speed component of the machine's amplitude; the number of operating hours spent in the resonance; the amplitude of the identified resonance; a value describing how reliably the resonance exists within the corresponding speed range, etc. Furthermore, one or more corresponding measures can be proposed, such as the aforementioned avoidance of resonance ranges and / or early maintenance and / or inspection of one or more mechanical components, such as the machine's bearings.

[0063] What users will immediately see is the extent of damage that resonance causes to the machine and its serious impact on operation.

[0064] Based on this reliably available information, the user is guided and assisted through the process continuously, and one or more of the aforementioned measures can be introduced at any time (e.g., not initiating resonance, checking the corresponding machine components).

[0065] Figures 2 to 4 Exemplary outputs for all possible, determined resonant speed ranges are shown. The root mean square (RMS) value of the spatial component of the vibration velocity in millimeters per second is shown as a function of the rotational speed in revolutions per minute. Figure 2 and Figure 3 The X component of the vibration velocity is shown, and Figure 4 The Y component of the vibration velocity is shown.

[0066] The vibration portions 200, 300, and 400 shown in the corresponding figures represent, for example, the corresponding rotational speed-dependent vibration portions determined in step 103 of the aforementioned method.

[0067] Solid lines 201, 301, and 401 are approximate models that represent the spatial components of the vibration's rotational speed component within the measured rotational speed range. In other words, the amplitude-rotational speed component model determined after step 104 is used as a curve for the corresponding spatial components of the vibration.

[0068] Figure 2 Only the rotational speed range 202 with the maximum value 203 of the amplitude rotational speed component model 201 is shown, which is identified as the resonance range after comparison with the resonance model.

[0069] Furthermore, the maximum value 203 is above, for example, the vibration boundary value 204 defined in the standard, such as the vibration limit value defined in step 106. That is, the resonance range 202 is identified as "critical" and is also reported as such.

[0070] exist Figure 3 In the rotational speed component model 301, three rotational speed ranges 302a, 302b, and 302c with corresponding maximum values ​​303a, 303b, and 303c were identified. All three maximum values ​​303a, 303b, and 303c are above the preferred normalized vibration boundary value 304, thus classifying each resonant rotational speed range 302a, 302b, and 302c as "critical".

[0071] for Figure 4 For the y-component of the vibration velocity shown, the rotational speed range 402 with the corresponding maximum value 403 is determined. Figure 2 or Figure 3 The opposite is true; the maximum value 403 is below the vibration boundary value 404 defined in the standard, thus classifying the rotational speed range 402 as "non-critical".

[0072] In any situation, the user can immediately identify which events require action and which do not within the critical speed range of the output, and thus the characterization thereof. For example, in the presence of non-critical resonance ranges, such as... Figure 4 As shown, no further measures are required, and the machine can continue to operate without change.

[0073] Figure 5 A production environment capable of implementing the monitoring methods disclosed herein is shown.

[0074] The production environment includes a rotary electric machine configured as an electric motor 501. The electric motor 501 is operated, for example, by an electronic control unit configured, for example, a frequency converter 502. The frequency converter 502 is connected to a network 503 to provide current and voltage to the electric motor 501.

[0075] It is understood that this production environment typically has multiple such machines and corresponding control units.

[0076] A measuring device 504 is provided to monitor the operating performance of motor 501. Measuring device 504 is mounted externally to the housing of machine 501. Measuring device 504 is designed and configured so that it does not require connection to the wires or cables of machine 501 to perform measurements. For example, measuring device 504 detects the vibration of electric motor 501. Vibration, or amplitude, is essentially a function of rotational speed and torque. Furthermore, measuring device 504 can be configured to detect additional physical parameters, such as stray magnetic fields. Additionally, measuring device 504 can be configured to preprocess the collected measurement data 507.

[0077] To enable the analysis and evaluation of large amounts of data from the production environment 500, the measurement device 504 is advantageously connected to an upper-level IT infrastructure 505. The IT infrastructure 505 has one or more data transmission components 506, such as agents, gateways, and the like, configured to receive, and possibly preprocess, the measurement data 507 collected from the measurement device 504, and transmit it to a corresponding data processing system 508. The data 509 can be transmitted, for example, first wirelessly, such as via WiFi, to a network 510, such as a cloud infrastructure, and from there to the data processing system 508.

[0078] The measuring device 504 can be connected to the IT infrastructure 505, for example, by means of a dedicated application 511 implemented on a portable computer device 512, such as a smartphone, laptop, or similar. Here, the computer device 512 is preferably connected to the measuring device 504 wirelessly, for example via Bluetooth, to implement the connection of the application 511 and connect the measuring device 504 to the IT infrastructure 505.

[0079] The data processing system 508 may include a data analytics application 513. The data analytics application 513 may reside in and be implemented in the cloud infrastructure 510. In addition, the data processing system 508 may include one or more local computing units 514, 515, 516, which may establish corresponding connections 517, 518 to the cloud infrastructure 510 to access the data analytics application 513 and perform corresponding data analyses.

[0080] In principle, the data analytics application 513 can assist one or more users 519 during the production process. As problems arise, the data analytics application 513 can provide support for maintenance or service optimization and / or the implementation of new customer business models and / or predictive maintenance for one or more users 519 while monitoring motor 501.

[0081] In other words, data analytics application 513 is an aid executed by a computer of a user on one or more machines 501 in a production environment 500. For example, data analytics application 513 may contain instructions that, when implemented by processing system 508, cause the processing system to perform actions related to... Figures 1 to 4 The described methods and steps.

[0082] The data analysis application 513 may include one or more input interfaces 520 and output interfaces 521.

[0083] Input interface 520 can be configured to receive collected measurement data 507, 509 from cloud infrastructure 510.

[0084] The output interface 521 can be configured to send the results of an analysis performed by the data analysis application 513 to one or more visualization devices 522. For example, the corresponding visualization device 522 can be configured as part of the corresponding computing units 514 to 516.

[0085] The evaluation component (not shown here) is executed in data analytics application 513, and its configuration is used for: - The correlation between the amplitude rotational speed component and the rotational speed is modeled from measurement data 507 and 509 to obtain an amplitude rotational speed component model. - An amplitude-based amplitude-speed component model determines one or more speed ranges in which the amplitude reaches its maximum value. - Determine the resonance model for the rotating electric machine from known resonance data of different rotating electric machines, and - For a given speed range, the speed component model and resonance model of the amplitude confirm whether resonance exists in the corresponding speed range.

[0086] The determined range of rotational speeds including resonance can be visualized on one or more visualization devices 522 and thus sent to the user.

[0087] The resonance data required to determine the resonance model can reside in cloud infrastructure 510 and be accessible to data processing system 508, which is capable of building the resonance model. Alternatively or additionally, resonance data can be provided to data processing system 508 by other databases, not shown here, wherein the database need not be part of cloud infrastructure 510. In particular, it can be configured to supply resonance data to data analysis application 513, and data analysis application 513 can build the resonance model.

[0088] To support user configuration, particularly in development or engineering production environments, the data processing system 508 includes a simulation program 523 configured to simulate the operational performance of the rotating electric machine 501 and monitor the simulated performance. For this purpose, the simulation program includes a digital twin of the machine 501. This digital twin includes a static model of the machine 501, such as a CAD file, and an electromagnetic model, and is capable of generating simulated measurement data by simulating the machine's operation, and particularly simulating the machine's vibrations during simulation operation.

[0089] The simulated measurement data, preferably including simulated vibration data, is transmitted to the data analysis application 513 via the input interface 520. The data analysis application can analyze the simulated measurement data in terms of the resonant speed range as if using real measurement data 507, 509, and can output the determined, preferably key, resonant speed range, and can preferably visualize the resonant speed range on the corresponding visualization device 520.

[0090] To ensure the simulation program product is appropriately independent of other software packages, the simulation program product includes data analysis application 513.

[0091] Furthermore, data analysis application 513 can determine one or more KPIs related to the corresponding identified resonance. Data analysis application 513 can, for example, determine the following KPIs: the similarity of the match between the resonance model and the actual or simulated performance of the machine's amplitude rotational speed component; the number of actual or simulated operating hours spent in the resonance; the amplitude of the identified resonance; and values ​​describing the reliability of determining the presence of resonance in the corresponding speed range.

[0092] The purpose of this description is solely to provide examples and to illustrate further advantages and specificities of the invention. In particular, the disclosed features, in conjunction with the methods described herein, can be reasonably used in the production environments described herein and / or in simulations thereof, and vice versa.

Claims

1. A method for monitoring a rotating electric machine (501), wherein, - Provide (100) measurement data (507, 509) related to the operation of the machine. -Based on the measured data (507, 509), the correlation model between the rotational speed component of the amplitude and the rotational speed is modeled (104) to obtain the amplitude rotational speed component model (201, 301, 401). -Based on the amplitude rotational speed component model (201, 301, 401) of the amplitude, determine (105) one or more rotational speed ranges (202, 302a, 302b, 302c, 402), in which the amplitude reaches the maximum value of the amplitude (203, 303a, 303b, 303c, 403). For the determined rotational speed ranges (202, 302a, 302b, 302c, 402), the amplitude performance of the amplitude rotational speed component model (201, 301, 401) is compared with the resonance model to confirm whether resonance exists in the corresponding rotational speed ranges (202, 302a, 302b, 302c, 402). - The output is the determined speed range (202, 302a, 302b, 302c, 402) including resonance.

2. The method according to claim 1, wherein, The resonance model for the rotating electric machine is determined from the known resonance data of different rotating electric machines.

3. The method according to claim 1 or 2, wherein, For one or more of the determined rotational speed ranges (202, 302a, 302b, 302c, 402), determine whether the corresponding maximum value (203, 303a, 303b, 303c, 403) of the amplitude exceeds a predetermined value (204, 304, 404) in the corresponding rotational speed range (202, 302a, 302b, 302c, 402), and further consider the corresponding rotational speed range (202, 302a, 302b, 302c, 402) only if the maximum value (203, 303a, 303b, 303c, 403) of the amplitude exceeds the predetermined value (204, 304, 404) in that range.

4. The method according to any one of claims 1 to 3, wherein, For the determined rotational speed range (202, 302a, 302b, 302c, 402) containing resonance, at least one characteristic characterizing the corresponding resonance is determined and output.

5. The method according to any one of claims 1 to 4, wherein, The rotary electric machine (501) is controlled according to the determined speed range (202, 302a, 302b, 302c, 402) including resonance.

6. The method according to any one of claims 1 to 5, wherein, The measurement data (507, 509) includes data on torque and amplitude, and preferably includes data on rotational speed.

7. The method according to any one of claims 1 to 6, wherein, In order to obtain the amplitude rotational speed component model (201, 301, 401). - Determine (102) the torque amplitude model of the machine (501) from the measurement data (507, 509), the torque amplitude model modeling the amplitude according to the applied torque, - Using the torque amplitude model, the correlation between the rotational speed component of the amplitude and the rotational speed is modeled based on the measurement data (507, 509).

8. The method according to claim 7, wherein, Modeling the correlation between the rotational speed component of the amplitude and the rotational speed using the torque amplitude model includes: determining (103) the value of the rotational speed component of the amplitude and, for example, the value of the torque component from the measurement data for data points.

9. The method according to any one of claims 1 to 8, wherein, The measurement data (507, 509) have been collected by measurements performed during operation of the machine (501), and preferably at least two spatial components of the amplitude have been measured during the measurements.

10. The method according to claim 9, wherein, The measurement is performed using a measuring device (504) that is wirelessly attached to the housing of the machine (501).

11. A computer program product comprising instructions that, when executed by a computer, cause the computer to perform the method according to any one of claims 1 to 10.

12. A system for monitoring rotating electric machinery (501), wherein, The system includes an input interface (520), an output interface (521), a processor, and a memory connected to the processor. The memory is configured to hold one or more components that can be executed by the processor. The processor is configured to execute one or more components that can be accessed in the memory. - The input interface (520) is configured to receive measurement data (507, 509) related to the operation of the machine. - The memory includes an evaluation component (513), which is configured to: Based on the measured data (507, 509), the correlation between the rotational speed component of the amplitude and the rotational speed is modeled to obtain the amplitude-rotational speed component model (201, 301, 401). Based on the amplitude rotational speed component model (201, 301, 401) of the amplitude, one or more rotational speed ranges (202, 302a, 302b, 302c, 402) are determined (105), in which the amplitude reaches the maximum value of the amplitude (203, 303a, 303b, 303c, 403). Determine the resonance model for the rotating electric machine from the known resonance data of different rotating electric machines. For the determined rotational speed ranges (202, 302a, 302b, 302c, 402), the rotational speed component model (201, 301, 401) based on the amplitude and the resonance model are used to confirm whether resonance exists in the corresponding rotational speed ranges (202, 302a, 302b, 302c, 402). - The output interface (521) is configured to output the determined speed range (202, 302a, 302b, 302c, 402) including resonance.

13. A device for monitoring a rotating electric machine (501), wherein, The apparatus includes measuring devices compatible with the machine and the system according to claim 12, wherein, The measuring device (504) is configured to collect measurement data (507, 509) related to the operation of the machine (501), and preferably transmits the measurement data (507, 509) to the system (508) wirelessly.

14. A drive system comprising a rotary electric machine (501) and an apparatus according to claim 13 associated with said machine.

15. A simulation program product for simulating the operation of a rotating electric machine (501) and for monitoring the simulated operation, wherein, The simulation program product includes a digital twin of the machine (501), the digital twin having a static model and an electromagnetic model of the machine (501), wherein the digital twin of the machine (501) is capable of generating simulated measurement data through the simulation of the operation of the machine (501), and particularly simulating the vibration of the machine (501) during simulation operation. - The simulation program product includes an evaluation component (513), and the simulation program product is configured to transmit the simulated measurement data to the evaluation component (513), wherein, -The evaluation component (513) is configured for: Based on the simulated measurement data, the correlation between the amplitude rotational speed component and the rotational speed is modeled to obtain the amplitude rotational speed component model. Based on the amplitude-speed component model, one or more simulated speed ranges are determined, where the amplitude reaches its maximum value within the simulated speed range. Determine the resonance model for the rotating electric machine from the known resonance data of different rotating electric machines. For the determined simulated speed range, the speed component model based on the amplitude and the resonance model are used to confirm whether resonance exists within the corresponding simulated speed range. The simulation program product configuration is used to output the determined simulated speed range that includes resonance.

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