A demagnetization fault detection method and system for a permanent magnet synchronous all-in-one machine

Abstract

The present invention discloses a demagnetization fault detection method and system for a permanent magnet synchronous all-in-one machine, which relates to the technical field of demagnetization fault detection, including: collecting historical operating data of the permanent magnet synchronous all-in-one machine and extracting overload operating data from the operating data; performing demagnetization prediction of the permanent magnet synchronous all-in-one machine based on the overload operating data to obtain demagnetization probability information and demagnetization amplitude information; setting the number of demagnetization tests for the permanent magnet synchronous all-in-one machine based on the demagnetization probability information and the demagnetization amplitude information, performing demagnetization tests on the permanent magnet synchronous all-in-one machine according to the number of demagnetization tests, and obtaining a set of demagnetization test results; performing demagnetization analysis and calculation based on the set of demagnetization test results to obtain a comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result. The present invention solves the technical problem of low demagnetization fault detection accuracy in the prior art, and achieves the technical effect of improving the accuracy of demagnetization fault detection.

Description

Technical Field

[0001] The present invention relates to the technical field of demagnetization fault detection, and in particular to a demagnetization fault detection method and system for a permanent magnet synchronous all-in-one machine. Background Art

[0002] In the application of permanent magnet synchronous motors, the device's magnetic properties play a critical role in its operational stability and efficiency. However, overload, overheating, or other external environmental factors can cause permanent magnets to demagnetize during long-term operation, leading to performance degradation and even failure. Currently, conventional demagnetization fault detection methods rely on monitoring a single operating parameter, such as temperature or current. These methods are unable to comprehensively assess demagnetization risk and struggle to quantify demagnetization magnitude and uniformity. Especially under complex operating conditions, these methods suffer from low detection accuracy, failing to meet the requirements for high-precision assessment and fault warning. Summary of the Invention

[0003] The present application provides a demagnetization fault detection method and system for a permanent magnet synchronous all-in-one machine, which is used to solve the technical problem of low demagnetization fault detection accuracy in the prior art.

[0004] In view of the above problems, the present application provides a demagnetization fault detection method and system for a permanent magnet synchronous all-in-one machine.

[0005] A first aspect of the present application provides a method for detecting a demagnetization fault of a permanent magnet synchronous machine, the method comprising:

[0006] Collect operating data of the permanent magnet synchronous integrated machine in historical time and extract overload operating data in the operating data; perform demagnetization prediction of the permanent magnet synchronous integrated machine based on the overload operating data to obtain demagnetization probability information and demagnetization amplitude information; set the number of demagnetization tests for the permanent magnet synchronous integrated machine based on the demagnetization probability information and the demagnetization amplitude information, perform demagnetization tests on the permanent magnet synchronous integrated machine according to the number of demagnetization tests, and obtain a demagnetization test result set; perform demagnetization analysis and calculation based on the demagnetization test result set to obtain a comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result.

[0007] A second aspect of the present application provides a demagnetization fault detection system for a permanent magnet synchronous machine, the system comprising:

[0008] an overload operation data acquisition module, wherein the overload operation data acquisition module collects the operation data of the permanent magnet synchronous integrated machine in the historical period and extracts the overload operation data in the operation data; a demagnetization prediction module, wherein the demagnetization prediction module performs demagnetization prediction of the permanent magnet synchronous integrated machine according to the overload operation data, and obtains demagnetization probability information and demagnetization amplitude information; a demagnetization test module, wherein the demagnetization test module sets the number of demagnetization tests for the permanent magnet synchronous integrated machine according to the demagnetization probability information and the demagnetization amplitude information, performs demagnetization tests on the permanent magnet synchronous integrated machine according to the number of demagnetization tests, and obtains a set of demagnetization test results; a demagnetization analysis and calculation module, wherein the demagnetization analysis and calculation module performs demagnetization analysis and calculation according to the demagnetization test result set, and obtains comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] The present application collects the operating data of the permanent magnet synchronous all-in-one machine in the historical time, extracts the overload operating data in the operating data; according to the overload operating data, performs demagnetization prediction of the permanent magnet synchronous all-in-one machine, obtains demagnetization probability information and demagnetization amplitude information; according to the demagnetization probability information and demagnetization amplitude information, sets the number of demagnetization tests for the permanent magnet synchronous all-in-one machine, performs demagnetization tests on the permanent magnet synchronous all-in-one machine according to the number of demagnetization tests, and obtains a set of demagnetization test results; according to the set of demagnetization test results, performs demagnetization analysis and calculation, obtains comprehensive demagnetization amplitude and demagnetization uniformity information as demagnetization fault detection results. The present invention solves the technical problem of low demagnetization fault detection accuracy in the prior art, by collecting operating data, demagnetization prediction, setting the number of tests and analyzing test results, combining overload data with demagnetization characteristic information, accurately evaluating the demagnetization risk and uniformity of the permanent magnet synchronous all-in-one machine, obtaining comprehensive demagnetization amplitude and demagnetization uniformity information, and achieving the technical effect of improving the accuracy of demagnetization fault detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0012] Figure 1 A flowchart of a method for detecting a demagnetization fault of a permanent magnet synchronous machine provided in an embodiment of the present application;

[0013] Figure 2 A structural schematic diagram of a demagnetization fault detection system for a permanent magnet synchronous all-in-one machine provided in an embodiment of the present application.

[0014] Description of reference numerals: overload operation data acquisition module 11 , demagnetization prediction module 12 , demagnetization test module 13 , demagnetization analysis and calculation module 14 . DETAILED DESCRIPTION

[0015] The present application provides a demagnetization fault detection method and system for a permanent magnet synchronous all-in-one machine, aiming to solve the technical problem of low demagnetization fault detection accuracy in the prior art. By collecting operation data, demagnetization prediction, setting the number of tests and analyzing test results, and combining overload data with demagnetization characteristic information, the demagnetization risk and uniformity of the permanent magnet synchronous all-in-one machine are accurately evaluated, and comprehensive demagnetization amplitude and demagnetization uniformity information are obtained, thereby achieving the technical effect of improving the accuracy of demagnetization fault detection.

[0016] The following will be combined with the accompanying 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 some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] It should be noted that any variations of the terms "include" and "have" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0018] Example 1, as Figure 1 As shown, the present application provides a method for detecting demagnetization faults of a permanent magnet synchronous integrated machine, the method comprising:

[0019] Step S100: collecting historical operating data of the permanent magnet synchronous machine and extracting overload operating data from the operating data.

[0020] In this embodiment of the present application, temperature data collected and recorded by temperature sensors at multiple points during the historical operation of the permanent magnet synchronous machine is first obtained from a historical database to obtain operating data. Next, temperature data exceeding the permanent magnet operating temperature threshold is filtered from the operating data to generate an overload temperature data set, and the number of overload temperatures is counted. The mean of the overload temperature data set is calculated and combined with the number of overload temperatures to obtain overload operating data.

[0021] Furthermore, in the method provided in the embodiment of the application, the operating data of the permanent magnet synchronous machine in the historical period is collected, and the overload operating data in the operating data is extracted, which also includes:

[0022] Acquire temperature data at multiple moments during the operation of the permanent magnet synchronous integrated machine during historical time, collected and recorded by a temperature sensor, to obtain operation data; extract temperature data exceeding the permanent magnet operation temperature threshold from the operation data to obtain an overload temperature data set and the number of overload temperatures; calculate the mean of the overload temperature data set and combine it with the number of overload temperatures as the overload operation data.

[0023] In an embodiment of the present application, temperature data at multiple moments during the operation of the permanent magnet synchronous machine in the historical time, collected and recorded by the temperature sensor in the historical time, are first extracted from the historical database, and these data are used as operating data.

[0024] Next, the operating data is filtered to identify temperature data that exceeds the permanent magnet operating temperature threshold, generating an overload temperature data set. The data points in the overload temperature data set are then counted to determine the number of overload temperatures. The permanent magnet operating temperature threshold is pre-set by technical experts.

[0025] Then, the temperature values in the overload temperature data set are averaged, and the average value of the overload temperature data set is combined with the overload temperature quantity to generate overload operation data.

[0026] Step S200: performing demagnetization prediction of the permanent magnet synchronous machine according to the overload operation data, and obtaining demagnetization probability information and demagnetization amplitude information.

[0027] In an embodiment of the present application, a demagnetization prediction channel is pre-trained, and overload operation data is input into the demagnetization prediction channel to perform demagnetization prediction of the permanent magnet synchronous machine to obtain demagnetization probability information and demagnetization amplitude information.

[0028] Furthermore, in the method provided in the embodiment of the application, demagnetization prediction of the permanent magnet synchronous machine is performed based on the overload operation data to obtain demagnetization probability information and demagnetization amplitude information, and further includes:

[0029] Based on the demagnetization detection historical data of the permanent magnet synchronous integrated machine, a sample overload operation data set is collected, and the proportion of the permanent magnet synchronous integrated machine that has demagnetized under different sample overload operation data, as well as the average demagnetization amplitude of the permanent magnet synchronous integrated machine that has demagnetized, are collected to obtain a sample demagnetization probability information set and a sample demagnetization amplitude information set; the sample overload operation data set, the sample demagnetization probability information set and the sample demagnetization amplitude information set are used as supervised training data to train a demagnetization prediction channel; the overload operation data is input into the demagnetization prediction channel, and the demagnetization probability information and demagnetization amplitude information are obtained through prediction output.

[0030] In this embodiment, a sample overload operation data set is first collected from historical demagnetization detection data. This historical demagnetization detection data includes the operation records of the permanent magnet synchronous machine under different overload conditions, such as the temperature level and duration of over-temperature operation. This data is obtained through a historical monitoring system or equipment operation logs and serves as a characteristic sample of overload behavior during actual equipment operation, forming the sample overload operation data set.

[0031] Next, from the collected sample overload operation data sets, the corresponding demagnetization situation for each set of sample data was statistically analyzed, including the percentage of permanent magnet synchronous machines that experienced demagnetization under different overload operating conditions (i.e., demagnetization probability information) and the average demagnetization magnitude of these demagnetized devices (i.e., demagnetization magnitude information). For example, under certain sample conditions, overload operation could cause demagnetization in 30% of devices, with an average demagnetization magnitude of 5%. Through these statistical analyses, a sample demagnetization probability information set and a sample demagnetization magnitude information set were generated.

[0032] Then, the sample overload operation data set, the sample demagnetization probability information set, and the sample demagnetization amplitude information set serve as supervised learning training data and are input into the demagnetization prediction channel. The demagnetization prediction channel is a predictive model based on supervised learning algorithms, such as convolutional neural networks or regression models, that learns the mapping between overload operating conditions and demagnetization risk. Through multiple iterations of training, it can identify the impact of different overload operating characteristics on demagnetization probability and demagnetization amplitude, ultimately forming a channel with predictive capabilities.

[0033] Finally, the currently collected equipment overload operation data is fed into the trained demagnetization prediction channel. Through the model's calculation and prediction, the demagnetization probability and demagnetization magnitude information under the current operating conditions are output.

[0034] Step S300: setting a demagnetization test frequency for the permanent magnet synchronous integrated machine according to the demagnetization probability information and the demagnetization amplitude information, performing a demagnetization test on the permanent magnet synchronous integrated machine according to the demagnetization test frequency, and obtaining a demagnetization test result set.

[0035] In the embodiment of the present application, the number of demagnetization tests for the permanent magnet synchronous machine is first determined based on the demagnetization probability information and the demagnetization amplitude information. The greater the demagnetization probability information and the demagnetization amplitude information, the higher the risk of device demagnetization, and therefore, the more tests are required. Specifically, the maximum number of demagnetization tests in the historical record is first multiplied by the demagnetization probability information and the demagnetization amplitude information, respectively, to obtain the probability demagnetization test number and the amplitude demagnetization test number. These two values are then weighted to determine the final number of demagnetization tests.

[0036] During the test, a Hall effect element is placed inside the permanent magnet synchronous machine to detect changes in the magnetic field during operation. The voltage signal collected by the Hall effect element is converted into a standard current signal (4-20mA). The demagnetization amplitude of the device is calculated based on the position of the current signal within this range. For example, a current signal of 20mA indicates a demagnetization amplitude of 0%. If the current signal is 16mA, the demagnetization amplitude can be calculated as (20-16) / (20-4) = 25%. Based on the determined number of demagnetization tests, multiple tests are performed and the Hall effect element conversion signals are collected to form a complete conversion signal set.

[0037] By analyzing the signal amplitude of each test in the conversion signal set, the demagnetization amplitude of each test is calculated, and all test results are summarized to generate a demagnetization test result set.

[0038] Furthermore, in the method provided in the embodiment of the application, the number of demagnetization tests for the permanent magnet synchronous machine is set according to the demagnetization probability information and the demagnetization amplitude information, and further includes:

[0039] Obtain the maximum number of demagnetization tests performed on the permanent magnet synchronous integrated machine in the historical period; multiply the demagnetization probability information by the maximum number of demagnetization tests to obtain the probability demagnetization test number; multiply the demagnetization amplitude information by the maximum number of demagnetization tests to obtain the amplitude demagnetization test number; perform weighted calculation on the probability demagnetization test number and the amplitude demagnetization test number to obtain the demagnetization test number for the permanent magnet synchronous integrated machine.

[0040] In this embodiment, the maximum number of demagnetization tests is first obtained from the historical operation records of the permanent magnet synchronous machine. This is the upper limit of the number of tests allowed under the durability, safety, and actual operating conditions of the equipment. Alternatively, this data can be provided by the equipment manufacturer based on experimental testing and used as a benchmark value for setting the number of tests.

[0041] Next, the corresponding test times are calculated based on the current demagnetization probability and demagnetization amplitude information. The probability demagnetization test times are calculated by multiplying the demagnetization probability by the maximum demagnetization test times. Similarly, the amplitude demagnetization test times are calculated by multiplying the demagnetization amplitude by the maximum demagnetization test times.

[0042] Next, a weighted calculation is performed on the number of probability demagnetization tests and the number of amplitude demagnetization tests. The weights corresponding to the number of probability demagnetization tests and the number of amplitude demagnetization tests are pre-set by technical experts and are both 0.5. Through calculation, the number of demagnetization tests for the permanent magnet synchronous integrated machine is obtained.

[0043] Furthermore, in the method provided in the embodiment of the application, the demagnetization test is performed on the permanent magnet synchronous integrated machine according to the demagnetization test number to obtain a demagnetization test result set, and further includes:

[0044] The Hall element is arranged in the permanent magnet synchronous integrated machine. During the operation of the permanent magnet synchronous integrated machine, the conversion signal of the Hall element is collected according to the number of demagnetization tests to obtain a conversion signal set; the conversion signal interval of the Hall element for testing the demagnetization of the permanent magnet synchronous integrated machine is obtained; according to the falling position of the conversion signal of the demagnetization test number in the conversion signal set within the conversion signal interval, the test demagnetization amplitude of the demagnetization test number is calculated and obtained as the demagnetization test result set.

[0045] In this embodiment, a Hall effect element is first deployed within a permanent magnet synchronous machine. The Hall effect element senses changes in the magnetic field during operation and converts the magnetic field signal into a voltage signal. This signal is then normalized into a conversion signal (typically in the 4-20 mA current range) by a current signal conversion module.

[0046] During the operation of the permanent magnet synchronous machine, the conversion signals of the Hall effect element are collected multiple times according to the predetermined number of demagnetization tests. After each test, the collected conversion signals are recorded and integrated into a conversion signal set, which contains key data on the changes in the magnetic properties of the device during the multiple tests.

[0047] Next, determine the conversion signal range for the Hall effect element used to test the demagnetization of the permanent magnet synchronous motor. This means defining a reference standard within the 4-20mA current signal range. For example, within this range, 20mA indicates a completely normal device (0% demagnetization amplitude), while 4mA indicates complete demagnetization (100% demagnetization amplitude).

[0048] The conversion signal values for each test within the conversion signal set are then used to determine their specific position within the conversion signal range and calculate the demagnetization amplitude. For example, when the conversion signal for a test is 16mA, the demagnetization amplitude is calculated as (20-16) / (20-4) = 25%. This calculation logic is based on the linear distribution of signal values within the reference range.

[0049] Finally, the demagnetization amplitudes of all test times are integrated to obtain a demagnetization test result set.

[0050] Step S400: performing demagnetization analysis calculation according to the demagnetization test result set to obtain comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result.

[0051] In this embodiment, the mean of the demagnetization test result set is first calculated to obtain a comprehensive demagnetization amplitude. The demagnetization uniformity information is then calculated by combining the demagnetization test result set, the comprehensive demagnetization amplitude, and the demagnetization probability information. Specifically, multiple test results are randomly selected from the demagnetization test result set, and their mean is calculated to obtain a random demagnetization amplitude. The deviation between the random demagnetization amplitude and the comprehensive demagnetization amplitude is then calculated, and the test demagnetization uniformity coefficient is obtained by subtracting the deviation from 1. Finally, the demagnetization uniformity information is calculated as the mean of the test demagnetization uniformity coefficient and the demagnetization probability information.

[0052] Furthermore, in the method provided in the embodiment of the application, demagnetization analysis and calculation are performed based on the demagnetization test result set to obtain comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result, and the method further includes:

[0053] The method further comprises calculating a mean of the demagnetization test result set to obtain a comprehensive demagnetization amplitude; calculating demagnetization uniformity information based on the demagnetization test result set, the comprehensive demagnetization amplitude, and the demagnetization probability information; and using the comprehensive demagnetization amplitude and the demagnetization uniformity information as a demagnetization fault detection result.

[0054] In the embodiment of the present application, firstly, based on the demagnetization test result set, the mean of all test results is calculated to obtain the comprehensive demagnetization amplitude.

[0055] Next, the demagnetization uniformity information is further calculated based on the demagnetization test result set, the comprehensive demagnetization amplitude, and the demagnetization probability information. Specifically, multiple test results are randomly selected from the demagnetization test result set, and their mean is calculated to obtain the random demagnetization amplitude. The deviation between the random demagnetization amplitude and the comprehensive demagnetization amplitude is then calculated. The smaller the deviation, the more uniform the demagnetization distribution of the device. The test demagnetization uniformity coefficient is obtained by subtracting the deviation from 1. This coefficient is used to quantify the uniformity of the device's demagnetization. The higher the value, the more consistent the demagnetization distribution. The mean of the test demagnetization uniformity coefficient and the demagnetization probability information is used as the final demagnetization uniformity information.

[0056] Finally, the comprehensive demagnetization amplitude and demagnetization uniformity information are combined as the demagnetization fault detection result of the equipment.

[0057] Furthermore, in the method provided in the embodiment of the application, demagnetization uniformity information is calculated based on the demagnetization test result set, the comprehensive demagnetization amplitude and the demagnetization probability information, and further includes:

[0058] A plurality of demagnetization test results are randomly selected from the demagnetization test result set, and an average is calculated to obtain a random demagnetization amplitude; a deviation between the random demagnetization amplitude and the comprehensive demagnetization amplitude is calculated, and the deviation is subtracted from 1 to obtain a test demagnetization uniformity coefficient; and a mean of the test demagnetization uniformity coefficient and the demagnetization probability information is calculated to obtain a demagnetization uniformity coefficient as the demagnetization uniformity information.

[0059] In this embodiment, multiple demagnetization test results are randomly sampled from a set of demagnetization test results and averaged to obtain a random demagnetization amplitude. The random demagnetization amplitude is a local average of the device's demagnetization performance under a subset of test conditions, used to simulate the device's magnetic performance loss at different locations or operating states.

[0060] Next, the deviation between the random demagnetization amplitude and the comprehensive demagnetization amplitude is calculated. The comprehensive demagnetization amplitude is the average of the entire test result, reflecting the severity of the device's overall demagnetization; the random demagnetization amplitude provides a reference for local demagnetization. The deviation between the two quantifies the consistency between local demagnetization and overall demagnetization. The smaller the deviation, the more uniform the demagnetization distribution of the device under different test conditions.

[0061] The demagnetization uniformity coefficient is then calculated as 1 minus the deviation amplitude. This coefficient directly quantifies the degree of demagnetization uniformity; values closer to 1 indicate a more consistent demagnetization distribution across the device. The uniformity coefficient provides a metric for evaluating the spatial distribution of demagnetization losses within the device.

[0062] Finally, the average calculation result of the test demagnetization uniformity coefficient and the demagnetization probability information is used as the final demagnetization uniformity information.

[0063] In the embodiments of the present application, in summary, the embodiments of the present application have at least the following technical effects:

[0064] The present application collects the operating data of the permanent magnet synchronous all-in-one machine in the historical time, extracts the overload operating data in the operating data; according to the overload operating data, performs demagnetization prediction of the permanent magnet synchronous all-in-one machine, obtains demagnetization probability information and demagnetization amplitude information; according to the demagnetization probability information and demagnetization amplitude information, sets the number of demagnetization tests for the permanent magnet synchronous all-in-one machine, performs demagnetization tests on the permanent magnet synchronous all-in-one machine according to the number of demagnetization tests, and obtains a set of demagnetization test results; according to the set of demagnetization test results, performs demagnetization analysis and calculation, obtains comprehensive demagnetization amplitude and demagnetization uniformity information as demagnetization fault detection results. The present invention solves the technical problem of low demagnetization fault detection accuracy in the prior art, by collecting operating data, demagnetization prediction, setting the number of tests and analyzing test results, combining overload data with demagnetization characteristic information, accurately evaluating the demagnetization risk and uniformity of the permanent magnet synchronous all-in-one machine, obtaining comprehensive demagnetization amplitude and demagnetization uniformity information, and achieving the technical effect of improving the accuracy of demagnetization fault detection.

[0065] Embodiment 2 is based on the same inventive concept as the demagnetization fault detection method of a permanent magnet synchronous integrated machine in the above embodiment. Figure 2 As shown, the present application provides a demagnetization fault detection system for a permanent magnet synchronous integrated machine. The system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0066] an overload operation data acquisition module 11, wherein the overload operation data acquisition module 11 collects the operation data of the permanent magnet synchronous integrated machine in the historical period and extracts the overload operation data in the operation data; a demagnetization prediction module 12, wherein the demagnetization prediction module 12 performs demagnetization prediction of the permanent magnet synchronous integrated machine according to the overload operation data, and obtains demagnetization probability information and demagnetization amplitude information; a demagnetization test module 13, wherein the demagnetization test module 13 sets the number of demagnetization tests for the permanent magnet synchronous integrated machine according to the demagnetization probability information and the demagnetization amplitude information, performs demagnetization tests on the permanent magnet synchronous integrated machine according to the number of demagnetization tests, and obtains a demagnetization test result set; a demagnetization analysis and calculation module 14, wherein the demagnetization analysis and calculation module 14 performs demagnetization analysis and calculation according to the demagnetization test result set, and obtains comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result.

[0067] Furthermore, the system is also used to implement the following functions:

[0068] Acquire temperature data at multiple moments during the operation of the permanent magnet synchronous integrated machine during historical time, collected and recorded by a temperature sensor, to obtain operation data; extract temperature data exceeding the permanent magnet operation temperature threshold from the operation data to obtain an overload temperature data set and the number of overload temperatures; calculate the mean of the overload temperature data set and combine it with the number of overload temperatures as the overload operation data.

[0069] Furthermore, the system is also used to implement the following functions:

[0070] Based on the demagnetization detection historical data of the permanent magnet synchronous integrated machine, a sample overload operation data set is collected, and the proportion of the permanent magnet synchronous integrated machine that has demagnetized under different sample overload operation data, as well as the average demagnetization amplitude of the permanent magnet synchronous integrated machine that has demagnetized, are collected to obtain a sample demagnetization probability information set and a sample demagnetization amplitude information set; the sample overload operation data set, the sample demagnetization probability information set and the sample demagnetization amplitude information set are used as supervised training data to train a demagnetization prediction channel; the overload operation data is input into the demagnetization prediction channel, and the demagnetization probability information and demagnetization amplitude information are obtained through prediction output.

[0071] Furthermore, the system is also used to implement the following functions:

[0072] Obtain the maximum number of demagnetization tests performed on the permanent magnet synchronous integrated machine in the historical period; multiply the demagnetization probability information by the maximum number of demagnetization tests to obtain the probability demagnetization test number; multiply the demagnetization amplitude information by the maximum number of demagnetization tests to obtain the amplitude demagnetization test number; perform weighted calculation on the probability demagnetization test number and the amplitude demagnetization test number to obtain the demagnetization test number for the permanent magnet synchronous integrated machine.

[0073] Furthermore, the system is also used to implement the following functions:

[0074] The Hall element is arranged in the permanent magnet synchronous integrated machine. During the operation of the permanent magnet synchronous integrated machine, the conversion signal of the Hall element is collected according to the number of demagnetization tests to obtain a conversion signal set; the conversion signal interval of the Hall element for testing the demagnetization of the permanent magnet synchronous integrated machine is obtained; according to the falling position of the conversion signal of the demagnetization test number in the conversion signal set within the conversion signal interval, the test demagnetization amplitude of the demagnetization test number is calculated and obtained as the demagnetization test result set.

[0075] Furthermore, the system is also used to implement the following functions:

[0076] The method further comprises calculating a mean of the demagnetization test result set to obtain a comprehensive demagnetization amplitude; calculating demagnetization uniformity information based on the demagnetization test result set, the comprehensive demagnetization amplitude, and the demagnetization probability information; and using the comprehensive demagnetization amplitude and the demagnetization uniformity information as a demagnetization fault detection result.

[0077] Furthermore, the system is also used to implement the following functions:

[0078] A plurality of demagnetization test results are randomly selected from the demagnetization test result set, and an average is calculated to obtain a random demagnetization amplitude; a deviation between the random demagnetization amplitude and the comprehensive demagnetization amplitude is calculated, and the deviation is subtracted from 1 to obtain a test demagnetization uniformity coefficient; and a mean of the test demagnetization uniformity coefficient and the demagnetization probability information is calculated to obtain a demagnetization uniformity coefficient as the demagnetization uniformity information.

[0079] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0080] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

[0081] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A method for detecting demagnetization faults of a permanent magnet synchronous machine, characterized in that: The method comprises: Collecting historical operating data of the permanent magnet synchronous machine and extracting overload operating data from the operating data; Performing a demagnetization prediction of the permanent magnet synchronous machine based on the overload operation data to obtain demagnetization probability information and demagnetization amplitude information; setting a number of demagnetization tests for the permanent magnet synchronous integrated machine according to the demagnetization probability information and the demagnetization amplitude information, performing a demagnetization test on the permanent magnet synchronous integrated machine according to the number of demagnetization tests, and obtaining a demagnetization test result set; Performing demagnetization analysis and calculation based on the demagnetization test result set to obtain comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result; Collecting historical operating data of the permanent magnet synchronous machine and extracting overload operating data from the operating data includes: Acquire temperature data of multiple moments during the operation of the permanent magnet synchronous machine over a historical period of time collected and recorded by the temperature sensor to obtain operating data; Extracting temperature data exceeding a permanent magnet operating temperature threshold from the operating data to obtain an overload temperature data set and an overload temperature quantity; Calculating the mean of the overload temperature data set and combining it with the overload temperature quantity as overload operation data; The method further includes setting the number of demagnetization tests for performing a demagnetization test on the permanent magnet synchronous machine according to the demagnetization probability information and the demagnetization amplitude information, including: Get the maximum number of demagnetization tests performed on the permanent magnet synchronous machine in the historical period; Multiplying the demagnetization probability information by the maximum demagnetization test number to obtain a probability demagnetization test number; Multiplying the demagnetization amplitude information by the maximum demagnetization test number to obtain the amplitude demagnetization test number; Performing a weighted calculation on the probability demagnetization test times and the amplitude demagnetization test times to obtain the demagnetization test times for performing a demagnetization test on the permanent magnet synchronous all-in-one machine; Performing demagnetization analysis and calculation based on the demagnetization test result set to obtain comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result, including: Calculating the mean of the demagnetization test result set to obtain a comprehensive demagnetization amplitude; Calculating demagnetization uniformity information based on the demagnetization test result set, the comprehensive demagnetization amplitude, and the demagnetization probability information; The comprehensive demagnetization amplitude and demagnetization uniformity information are used as a demagnetization fault detection result.

2. The demagnetization fault detection method of a permanent magnet synchronous integrated machine according to claim 1, characterized in that: According to the overload operation data, demagnetization prediction of the permanent magnet synchronous machine is performed to obtain demagnetization probability information and demagnetization amplitude information, including: Based on the historical demagnetization detection data of the permanent magnet synchronous integrated machine, a sample overload operation data set is collected. The proportion of the permanent magnet synchronous integrated machine that experienced demagnetization under different sample overload operation data and the average demagnetization amplitude of the permanent magnet synchronous integrated machine that experienced demagnetization are also collected to obtain a sample demagnetization probability information set and a sample demagnetization amplitude information set; The sample overload operation data set, the sample demagnetization probability information set, and the sample demagnetization amplitude information set are used as supervised training data to train a demagnetization prediction channel; The overload operation data is input into the demagnetization prediction channel, and the prediction output obtains demagnetization probability information and demagnetization amplitude information.

3. The demagnetization fault detection method of a permanent magnet synchronous machine according to claim 1, characterized in that: Performing a demagnetization test on the permanent magnet synchronous integrated machine according to the demagnetization test number to obtain a demagnetization test result set, including: Arranging a Hall element in the permanent magnet synchronous integrated machine, and collecting conversion signals of the Hall element according to the number of demagnetization tests during the operation of the permanent magnet synchronous integrated machine to obtain a conversion signal set; Obtain the conversion signal interval of the Hall element test permanent magnet synchronous machine demagnetization; According to the falling positions of the conversion signals of the demagnetization test times in the conversion signal set within the conversion signal interval, the test demagnetization amplitudes of the demagnetization test times are calculated and obtained as the demagnetization test result set.

4. The demagnetization fault detection method of a permanent magnet synchronous machine according to claim 1, characterized in that: Demagnetization uniformity information is calculated based on the demagnetization test result set, the comprehensive demagnetization amplitude, and the demagnetization probability information, including: Randomly extracting a plurality of demagnetization test results from the demagnetization test result set, calculating an average, and obtaining a random demagnetization amplitude; Calculating a deviation between the random demagnetization amplitude and the comprehensive demagnetization amplitude, and subtracting the deviation from 1 as a test demagnetization uniformity coefficient; The average of the test demagnetization uniformity coefficient and the demagnetization probability information is calculated to obtain a demagnetization uniformity coefficient as the demagnetization uniformity information.

5. A demagnetization fault detection system for a permanent magnet synchronous machine, characterized in that: The system comprises: An overload operation data acquisition module, which collects operation data of the permanent magnet synchronous machine in a historical period and extracts overload operation data from the operation data; a demagnetization prediction module, which performs demagnetization prediction on the permanent magnet synchronous machine based on the overload operation data to obtain demagnetization probability information and demagnetization amplitude information; a demagnetization test module, wherein the demagnetization test module sets a number of demagnetization tests for performing a demagnetization test on the permanent magnet synchronous integrated machine according to the demagnetization probability information and the demagnetization amplitude information, performs a demagnetization test on the permanent magnet synchronous integrated machine according to the number of demagnetization tests, and obtains a demagnetization test result set; a demagnetization analysis and calculation module, which performs demagnetization analysis and calculation based on the demagnetization test result set to obtain comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result; Collecting historical operating data of the permanent magnet synchronous machine and extracting overload operating data from the operating data includes: Acquire temperature data at multiple times during the operation of the permanent magnet synchronous machine over a historical period of time collected and recorded by the temperature sensor to obtain operating data; Extracting temperature data exceeding a permanent magnet operating temperature threshold from the operating data to obtain an overload temperature data set and an overload temperature quantity; Calculating the mean of the overload temperature data set and combining it with the overload temperature quantity as overload operation data; The method further includes setting the number of demagnetization tests for performing a demagnetization test on the permanent magnet synchronous machine according to the demagnetization probability information and the demagnetization amplitude information, including: Get the maximum number of demagnetization tests performed on the permanent magnet synchronous machine in the historical period; Multiplying the demagnetization probability information by the maximum demagnetization test number to obtain a probability demagnetization test number; Multiplying the demagnetization amplitude information by the maximum demagnetization test number to obtain the amplitude demagnetization test number; Performing a weighted calculation on the probability demagnetization test times and the amplitude demagnetization test times to obtain the demagnetization test times for performing a demagnetization test on the permanent magnet synchronous all-in-one machine; Performing demagnetization analysis and calculation based on the demagnetization test result set to obtain comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result, including: Calculating the mean of the demagnetization test result set to obtain a comprehensive demagnetization amplitude; Calculating demagnetization uniformity information based on the demagnetization test result set, the comprehensive demagnetization amplitude, and the demagnetization probability information; The comprehensive demagnetization amplitude and demagnetization uniformity information are used as a demagnetization fault detection result.

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