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Method and system for detecting health state of permanent magnet motor

A health state, permanent magnet motor technology, applied in the direction of motor generator testing, measuring electricity, measuring devices, etc., can solve problems such as the inability to fully characterize the health of the system, and achieve the effect of improving accuracy

Active Publication Date: 2019-08-30
CSR ZHUZHOU ELECTRIC LOCOMOTIVE RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, some of these methods rely on a single feature and cannot fully characterize the health problems of the system, and some use more complex methods to integrate a large number of features, which puts forward higher requirements on the performance of the monitoring device

Method used

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  • Method and system for detecting health state of permanent magnet motor
  • Method and system for detecting health state of permanent magnet motor
  • Method and system for detecting health state of permanent magnet motor

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Embodiment 1

[0050] see figure 1 , the present embodiment provides a method for detecting the health state of a permanent magnet motor, comprising the following steps:

[0051] S1: Extract the corresponding statistical features from the measurement signal when the motor is running. The statistical features include frequency domain features, time domain features, and time-frequency domain features. The binary state transfer algorithm is used to select the required reconstruction model from the corresponding statistical features. combination of features;

[0052] S2: Obtain the historical normal data of the feature combination, and train the stack autoencoder according to the historical normal data to obtain the reconstruction model;

[0053] S3: Obtain the health factor according to the reconstructed model, and detect the health status of the permanent magnet motor according to the health factor. If the health factor is greater than the set health factor threshold, it is determined that th...

Embodiment 2

[0070] Corresponding to the above method embodiments, this embodiment provides a permanent magnet motor health status detection system, including a memory, a processor, and a computer program stored in the memory and operable on the processor, and the processor executes the described The computer program realizes the steps of the above method.

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PUM

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Abstract

The invention relates to the field of permanent magnet motor health monitoring, and discloses a method and a system for detecting a health state of a permanent magnet motor, so as to realize accuratedetection of a permanent magnet motor health state. The method disclosed by the invention comprises the steps of: extracting corresponding statistical features from a measurement signal during the operation of the motor, wherein the statistical features comprise a frequency domain feature, a time domain feature and a time-frequency domain feature, and selecting a feature combination necessary fora reconstruction model from the corresponding statistical features by using a binary state transition algorithm; and obtaining historical normal data of the feature combination, training a stacking self-encoding machine according to the historical normal data to obtain the reconstruction model, obtaining a health factor according to the reconstruction model, and detecting the health state of the permanent magnet motor by using the health factor.

Description

technical field [0001] The invention relates to the field of health monitoring of permanent magnet motors, in particular to a method and system for detecting the health status of permanent magnet motors. Background technique [0002] With the rapid development of electric locomotives, more and more attention has been paid to their safety and reliability. As its core component, the motor is crucial to the safe operation of the locomotive. And long-term uninterrupted operation under the conditions of high voltage, high current, and high speed makes it extremely prone to abnormalities. Therefore, the traction motor of the locomotive is the focus of the whole system maintenance. At present, in order to ensure the safe operation of motors, many data-driven health status detection methods have been proposed. However, some of these methods rely on a single feature and cannot fully characterize the health problems of the system, and some use more complex methods to integrate a la...

Claims

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Application Information

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IPC IPC(8): G01R31/34
CPCG01R31/343
Inventor 冯江华陈志文王亚杰符敏利韩露李伟业阳春华彭涛
Owner CSR ZHUZHOU ELECTRIC LOCOMOTIVE RES INST
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