FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR ON THE RESONANCE-BASED SPARSE SIGNAL DECOMPOSITION WITH OPTIMAL Q-FACTOR

Reciprocating compressor vibration signal is typical nonlinear and non-stationary,and the vibration information interference coupling, owing to this problem,a fault diagnosis method of reciprocating compressor on the resonance-based sparse signal decomposition with optimal Q-factor was proposed.The...

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Main Authors: WANG JinDong, BU QingChao, ZHAO HaiYang, ZHANG HongBin
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2019-01-01
Series:Jixie qiangdu
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.03.009
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author WANG JinDong
BU QingChao
ZHAO HaiYang
ZHANG HongBin
author_facet WANG JinDong
BU QingChao
ZHAO HaiYang
ZHANG HongBin
author_sort WANG JinDong
collection DOAJ
description Reciprocating compressor vibration signal is typical nonlinear and non-stationary,and the vibration information interference coupling, owing to this problem,a fault diagnosis method of reciprocating compressor on the resonance-based sparse signal decomposition with optimal Q-factor was proposed.The method use resonance sparse decomposition to find the low resonance component which its kurtosis is maximum, optimize Q-factor with genetic algorithm and particle swarm optimization to get the optimal Q-factor;then use resonance sparse decomposition to decompose reciprocating compressor vibration signal by the optimal Q-factor;the result shows that this method can diagnose the oversized bearing clearance fault effectively.
format Article
id doaj-art-95c3813ec443405b9afedd0a3f60ae7f
institution DOAJ
issn 1001-9669
language zho
publishDate 2019-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-95c3813ec443405b9afedd0a3f60ae7f2025-08-20T02:41:54ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692019-01-014155756130604897FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR ON THE RESONANCE-BASED SPARSE SIGNAL DECOMPOSITION WITH OPTIMAL Q-FACTORWANG JinDongBU QingChaoZHAO HaiYangZHANG HongBinReciprocating compressor vibration signal is typical nonlinear and non-stationary,and the vibration information interference coupling, owing to this problem,a fault diagnosis method of reciprocating compressor on the resonance-based sparse signal decomposition with optimal Q-factor was proposed.The method use resonance sparse decomposition to find the low resonance component which its kurtosis is maximum, optimize Q-factor with genetic algorithm and particle swarm optimization to get the optimal Q-factor;then use resonance sparse decomposition to decompose reciprocating compressor vibration signal by the optimal Q-factor;the result shows that this method can diagnose the oversized bearing clearance fault effectively.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.03.009
spellingShingle WANG JinDong
BU QingChao
ZHAO HaiYang
ZHANG HongBin
FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR ON THE RESONANCE-BASED SPARSE SIGNAL DECOMPOSITION WITH OPTIMAL Q-FACTOR
Jixie qiangdu
title FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR ON THE RESONANCE-BASED SPARSE SIGNAL DECOMPOSITION WITH OPTIMAL Q-FACTOR
title_full FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR ON THE RESONANCE-BASED SPARSE SIGNAL DECOMPOSITION WITH OPTIMAL Q-FACTOR
title_fullStr FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR ON THE RESONANCE-BASED SPARSE SIGNAL DECOMPOSITION WITH OPTIMAL Q-FACTOR
title_full_unstemmed FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR ON THE RESONANCE-BASED SPARSE SIGNAL DECOMPOSITION WITH OPTIMAL Q-FACTOR
title_short FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR ON THE RESONANCE-BASED SPARSE SIGNAL DECOMPOSITION WITH OPTIMAL Q-FACTOR
title_sort fault diagnosis of reciprocating compressor on the resonance based sparse signal decomposition with optimal q factor
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.03.009
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AT buqingchao faultdiagnosisofreciprocatingcompressorontheresonancebasedsparsesignaldecompositionwithoptimalqfactor
AT zhaohaiyang faultdiagnosisofreciprocatingcompressorontheresonancebasedsparsesignaldecompositionwithoptimalqfactor
AT zhanghongbin faultdiagnosisofreciprocatingcompressorontheresonancebasedsparsesignaldecompositionwithoptimalqfactor