A motor fault diagnosis method and system

Abstract

The present invention relates to the field of fault diagnosis, and discloses a motor fault diagnosis method and system. K The common K +1 type of working condition sensor signal, K is a positive integer, and the initial data set is constructed according to the working condition sensor signal; the initial data set is resampled in the angle domain to obtain a labeled resampled data set, and the time sliding window processing is performed on the resampled data set to obtain a labeled The total sample set is divided into a labeled training set and a test set; and the first preset model, the second preset model, the third preset model, and the classifier model are constructed, and the loss function is set; Target model: determine the diagnosis result of the motor to be tested according to the real-time operating condition sensor signal and the target model. It can effectively solve the problem that the early fault evolution trend is slow and the fault characteristics are easily submerged in the noise, and realize the early fault diagnosis of the motor.

Description

technical field [0001] The invention relates to the field of fault diagnosis, in particular to a motor fault diagnosis method and system. Background technique [0002] As modern industrial production equipment continues to develop towards structure, automation and intelligence, motors, as the most important power and drive devices, have been widely used in high-speed trains, subways and intercity rail transit equipment. However, in production practice, motors will inevitably fail due to long-term operation in harsh environments. In the early stage of the fault, the fault features are weak and have little impact on the system operation, but if measures are not taken in time, the early fault may deteriorate and spread rapidly, seriously affecting the performance of the motor and the safety of the system. [0003] Therefore, how to improve the correct rate of early fault diagnosis has become an urgent problem to be solved. Contents of the invention [0004] The purpose of t...

AI Technical Summary

Problems solved by technology

However, in production practice, motors will inevitably fail due to long-term operation in harsh environments

In the early stage of the fault, the fault features are weak and have little impact on system operation, but if measures are not taken in time, it may lead to rapid deterioration and spread of early faults, seriously affecting the performance of the motor and system safety

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