Study on the Fault Diagnosis of Generator Unit based on WPD-Neural Network
While gearbox in power plant generator set often work in the environment of high speed,high load and poor lubrication,it is of great significance to study the effective monitor and fault diagnosis of working condition. As to nonstationary feature of fault signal in gearbox,the fault diagnosis method...
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Format: | Article |
Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2018-01-01
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Series: | Jixie chuandong |
Subjects: | |
Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.08.035 |
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author | Liu Zhigang Zhao Xiaoyan Zhang Tao Ao Baolin Li Simin Dang Qiqian |
author_facet | Liu Zhigang Zhao Xiaoyan Zhang Tao Ao Baolin Li Simin Dang Qiqian |
author_sort | Liu Zhigang |
collection | DOAJ |
description | While gearbox in power plant generator set often work in the environment of high speed,high load and poor lubrication,it is of great significance to study the effective monitor and fault diagnosis of working condition. As to nonstationary feature of fault signal in gearbox,the fault diagnosis method based on wavelet packet decomposition( WPD) and BP neural network is presented. The measured fault signal is decomposed by the wavelet packet to obtain the energy feature information as the input vector,and the BP neural network is used as the classifier to identify and diagnose it. Through analysis of gearbox under four types of normal condition,tooth surface wear,missing teeth and compound fault,show that the fault diagnosis method can distinguish the fault type in gearbox. |
first_indexed | 2024-03-13T09:19:13Z |
format | Article |
id | doaj.art-69a50ea65e784343aca6aca6b6ea250b |
institution | Directory Open Access Journal |
issn | 1004-2539 |
language | zho |
last_indexed | 2024-03-13T09:19:13Z |
publishDate | 2018-01-01 |
publisher | Editorial Office of Journal of Mechanical Transmission |
record_format | Article |
series | Jixie chuandong |
spelling | doaj.art-69a50ea65e784343aca6aca6b6ea250b2023-05-26T09:49:04ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392018-01-014217918229937966Study on the Fault Diagnosis of Generator Unit based on WPD-Neural NetworkLiu ZhigangZhao XiaoyanZhang TaoAo BaolinLi SiminDang QiqianWhile gearbox in power plant generator set often work in the environment of high speed,high load and poor lubrication,it is of great significance to study the effective monitor and fault diagnosis of working condition. As to nonstationary feature of fault signal in gearbox,the fault diagnosis method based on wavelet packet decomposition( WPD) and BP neural network is presented. The measured fault signal is decomposed by the wavelet packet to obtain the energy feature information as the input vector,and the BP neural network is used as the classifier to identify and diagnose it. Through analysis of gearbox under four types of normal condition,tooth surface wear,missing teeth and compound fault,show that the fault diagnosis method can distinguish the fault type in gearbox.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.08.035Generator unit;Fault diagnosis;Wavelet packet decomposition;BP neural network |
spellingShingle | Liu Zhigang Zhao Xiaoyan Zhang Tao Ao Baolin Li Simin Dang Qiqian Study on the Fault Diagnosis of Generator Unit based on WPD-Neural Network Jixie chuandong Generator unit;Fault diagnosis;Wavelet packet decomposition;BP neural network |
title | Study on the Fault Diagnosis of Generator Unit based on WPD-Neural Network |
title_full | Study on the Fault Diagnosis of Generator Unit based on WPD-Neural Network |
title_fullStr | Study on the Fault Diagnosis of Generator Unit based on WPD-Neural Network |
title_full_unstemmed | Study on the Fault Diagnosis of Generator Unit based on WPD-Neural Network |
title_short | Study on the Fault Diagnosis of Generator Unit based on WPD-Neural Network |
title_sort | study on the fault diagnosis of generator unit based on wpd neural network |
topic | Generator unit;Fault diagnosis;Wavelet packet decomposition;BP neural network |
url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.08.035 |
work_keys_str_mv | AT liuzhigang studyonthefaultdiagnosisofgeneratorunitbasedonwpdneuralnetwork AT zhaoxiaoyan studyonthefaultdiagnosisofgeneratorunitbasedonwpdneuralnetwork AT zhangtao studyonthefaultdiagnosisofgeneratorunitbasedonwpdneuralnetwork AT aobaolin studyonthefaultdiagnosisofgeneratorunitbasedonwpdneuralnetwork AT lisimin studyonthefaultdiagnosisofgeneratorunitbasedonwpdneuralnetwork AT dangqiqian studyonthefaultdiagnosisofgeneratorunitbasedonwpdneuralnetwork |