Research of Fault Diagnosis for Motor Based on RBF Neural Network and Wavelet Packet

In order to solve the problem that it is difficult to extract fault characteristic signals and make an accurate fault prediction exsisted in traditional fault diagnosis for motor, a diagnosis method of motor faults based on RBF neural network and wavelet packet was put forward. The method can extrac...

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Main Authors: WANG Fan-zhong, TIAN Mu-qin
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2011-02-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/id/2448
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author WANG Fan-zhong
TIAN Mu-qin
author_facet WANG Fan-zhong
TIAN Mu-qin
author_sort WANG Fan-zhong
collection DOAJ
description In order to solve the problem that it is difficult to extract fault characteristic signals and make an accurate fault prediction exsisted in traditional fault diagnosis for motor, a diagnosis method of motor faults based on RBF neural network and wavelet packet was put forward. The method can extract energy of special frequency bands of vibration signals of typical faults of bearing, rotor and insulation of motor with wavelet package analysis technology, and serve the energy as a group of vector to be input of RBF network for diagnosing motor fault. The experiment and simulation results showed that the method is very effective to diagnose motor, which has positive significance to find early fault and maintain for motor.
first_indexed 2024-04-09T23:55:55Z
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issn 1671-251X
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publisher Editorial Department of Industry and Mine Automation
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spelling doaj.art-8f4a6d9dce7d49c0ba4ff9aa0ee2e1a62023-03-17T02:41:49ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2011-02-013724952Research of Fault Diagnosis for Motor Based on RBF Neural Network and Wavelet PacketWANG Fan-zhongTIAN Mu-qinIn order to solve the problem that it is difficult to extract fault characteristic signals and make an accurate fault prediction exsisted in traditional fault diagnosis for motor, a diagnosis method of motor faults based on RBF neural network and wavelet packet was put forward. The method can extract energy of special frequency bands of vibration signals of typical faults of bearing, rotor and insulation of motor with wavelet package analysis technology, and serve the energy as a group of vector to be input of RBF network for diagnosing motor fault. The experiment and simulation results showed that the method is very effective to diagnose motor, which has positive significance to find early fault and maintain for motor.http://www.gkzdh.cn/article/id/2448motor, fault diagnosis, rbf neural network, wavelet packet analysis, vibration signal
spellingShingle WANG Fan-zhong
TIAN Mu-qin
Research of Fault Diagnosis for Motor Based on RBF Neural Network and Wavelet Packet
Gong-kuang zidonghua
motor, fault diagnosis, rbf neural network, wavelet packet analysis, vibration signal
title Research of Fault Diagnosis for Motor Based on RBF Neural Network and Wavelet Packet
title_full Research of Fault Diagnosis for Motor Based on RBF Neural Network and Wavelet Packet
title_fullStr Research of Fault Diagnosis for Motor Based on RBF Neural Network and Wavelet Packet
title_full_unstemmed Research of Fault Diagnosis for Motor Based on RBF Neural Network and Wavelet Packet
title_short Research of Fault Diagnosis for Motor Based on RBF Neural Network and Wavelet Packet
title_sort research of fault diagnosis for motor based on rbf neural network and wavelet packet
topic motor, fault diagnosis, rbf neural network, wavelet packet analysis, vibration signal
url http://www.gkzdh.cn/article/id/2448
work_keys_str_mv AT wangfanzhong researchoffaultdiagnosisformotorbasedonrbfneuralnetworkandwaveletpacket
AT tianmuqin researchoffaultdiagnosisformotorbasedonrbfneuralnetworkandwaveletpacket