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Motor fault diagnosis method based on basal ganglion

A basal ganglia, fault diagnosis technology, applied in neural architecture, biological neural network model, knowledge expression and other directions, to avoid fault diagnosis errors, save the program judgment process, improve robustness and fault tolerance.

Active Publication Date: 2018-11-13
NANJING UNIV OF SCI & TECH
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Problems solved by technology

At present, for the faults during the operation of the motor, the research mainly focuses on the fault estimation strategy, and rarely involves the judgment method of the motor fault type.

Method used

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  • Motor fault diagnosis method based on basal ganglion
  • Motor fault diagnosis method based on basal ganglion
  • Motor fault diagnosis method based on basal ganglion

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Embodiment Construction

[0024] The present invention will be further described below in conjunction with accompanying drawing.

[0025] combine Figure 1~3 , a motor fault diagnosis method based on the basal ganglia, which applies the basal ganglia model to the judgment process of motor fault types. Firstly, the offline learning of motor fault diagnosis is carried out, and the specific working steps are as follows:

[0026] Step 1. Measure the speed, current, torque and other information of the motor under different operating conditions, and establish a historical database of motor operation;

[0027] Step 2. According to the existing empirical knowledge between fault symptoms and fault types in the historical database, establish the corresponding relationship between fault symptoms and fault types, so as to construct learning samples for subsequent training and learning of basal ganglia;

[0028] Step 3. Construct a spiking neuron network model, namely the basal ganglia model. Including construct...

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Abstract

The invention discloses a motor fault diagnosis method based on a basal ganglion. Firstly, a fault eigenvalue is extracted from historical data of motor operation and input into the basal ganglion, and a current most matched fault type is output through interaction of nuclei in the basal ganglion, so that offline learning of a motor fault is completed. Then, real-time motor operation data is preprocessed and input into a basal ganglion model after the learning, so that online diagnosis of the motor fault is realized. For the fault problem in the motor operation process, online autonomous faultdiagnosis of a motor is realized, so that the fault-tolerant capability of a motor servo system is improved.

Description

technical field [0001] The invention belongs to the technical field of motor fault diagnosis, in particular to a motor fault diagnosis method based on the basal ganglia. Background technique [0002] With the continuous development of modern industrial technology, motors are widely used in various fields, and the requirements for motor performance are getting higher and higher. During the operation of the motor, there are problems of aging and failure of its own components. These problems are inevitable and will have a certain impact on the entire motor servo system. For this reason, motor fault diagnosis technology is crucial to the safe operation of the entire motor servo system. This technology can get rid of the traditional manual monitoring and inspection links, and further improve the fault tolerance of the motor servo system and the control performance of the system. [0003] The traditional motor fault diagnosis method is based on some parameters that can be actuall...

Claims

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Application Information

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IPC IPC(8): G06N5/02G06N3/04
CPCG06N3/04G06N5/022
Inventor 吴益飞高熠关妍陈庆伟郭健陈鑫范成旺周唯季周历张翠艳
Owner NANJING UNIV OF SCI & TECH
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