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Brushless direct current motor bearing fault diagnosis method based on ELM model

A brush DC motor and fault diagnosis technology, which is applied in the field of brushless DC motor bearing fault diagnosis based on the ELM model, can solve problems such as brushless motor bearing fault diagnosis, and achieve the effect of avoiding adverse effects and improving accuracy and efficiency

Pending Publication Date: 2020-11-03
NANJING INST OF MECHATRONIC TECH
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Problems solved by technology

The invention provides a brushless DC motor bearing fault diagnosis method based on the ELM model to solve the problem of brushless motor bearing fault diagnosis

Method used

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  • Brushless direct current motor bearing fault diagnosis method based on ELM model
  • Brushless direct current motor bearing fault diagnosis method based on ELM model
  • Brushless direct current motor bearing fault diagnosis method based on ELM model

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Embodiment Construction

[0053] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0054] The invention provides a brushless DC motor bearing fault diagnosis method based on the ELM model. The ELM model has the ability of low complexity, fast training speed, and strong generalization ability. Combined with the three-phase current and the parent current of the brushless DC motor, it realizes no Fault diagnosis of brushed DC motor bearings. The overall algorithm principle flow of the present invention is as follows figure 1 As shown, the algorithm steps are as follows:

[0055] Step 1: Detect the three-phase current and the bus current of the brushless DC motor, and use the three-phase current and the bus current as the fault diagnosis signal of the brushless DC motor bearing;

[0056] Step 2: In order to reduce the influence of the harmonic signal on the three-phase current of the brushless DC motor, extract the three-phase c...

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Abstract

The invention relates to a brushless direct current motor bearing fault diagnosis method based on an ELM model, and the method comprises the steps: firstly detecting a three-phase current and a bus current of a brushless direct current motor as fault diagnosis signals of a brushless direct current motor bearing; secondly, in order to reduce the influence of three-phase current harmonics, extracting time-frequency characteristics of the three-phase current based on Hilbert-Huang transform; thirdly, in order to perfect the bearing fault signal, extracting the time domain, frequency domain and time-frequency domain characteristics of the bus current of the brushless direct current motor; finally, in order to simplify the classification model and strengthen the generalization ability of the classification model, achieving the fault diagnosis of the brushless direct current motor bearing in combination with an extreme learning machine algorithm.

Description

technical field [0001] The invention relates to the field of fault diagnosis of brushless motors, and particularly designs a method for diagnosing faults of brushless DC motor bearings based on an ELM model. Background technique [0002] With the continuous development of science and technology, the application of brushless DC motors is becoming more and more extensive. In order to ensure the safe operation of brushless DC motors, more and more attention has been paid to their safe working conditions. At the same time, among all types of motor faults, the proportion of motor bearing faults is about 40%, and motor bearing faults are also one of the main fault forms of motors. Bearing faults will cause devastating problems such as motor rotor stalling and bore sweeping, which will further cause immeasurable economic losses. Therefore, detecting relevant fault information at the early stage of bearing faults will have a great impact on the working safety and timely maintenance ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/04G01R31/34
CPCG01M13/04G01R31/343
Inventor 袁芬丁旭东郭夕琴陈璐璐赵姗姗
Owner NANJING INST OF MECHATRONIC TECH