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...

Full description

Bibliographic Details
Main Authors: Liu Zhigang, Zhao Xiaoyan, Zhang Tao, Ao Baolin, Li Simin, Dang Qiqian
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2018-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.08.035
_version_ 1797819113629810688
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