GEAR FAULT DIAGNOSIS BASED ON THE FREQUENCY SLICE WAVELET TRANSFORM TIME-FREQUENCY ANALYSIS METHOD

In order to extract the gear fault characteristics under the strong noise condition,a fault feature separation and extraction method was proposed based on a new time-frequency decomposition method,the frequency slice wavelet transform( FSWT). Firstly,the signal was processed with the FSWT to get its...

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Main Authors: CAI JianHua, HUANG GuoYu, LI XiaoQin
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2017-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.05.005
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author CAI JianHua
HUANG GuoYu
LI XiaoQin
author_facet CAI JianHua
HUANG GuoYu
LI XiaoQin
author_sort CAI JianHua
collection DOAJ
description In order to extract the gear fault characteristics under the strong noise condition,a fault feature separation and extraction method was proposed based on a new time-frequency decomposition method,the frequency slice wavelet transform( FSWT). Firstly,the signal was processed with the FSWT to get its time-frequency distribution. Then the time and frequency intervals,which contain the fault feature, were chosen to do threshold de-noising in time-frequency domain. Through reconstructing signals from the characteristic frequency slices,separation and extraction of time-frequency features were realized.The proposed method was shown to be efficient by simulations and engineering applications. It has the ability to isolate the desired components from noisy signals. It achieves an ideal effect on feature extraction for gear fault diagnosis.
format Article
id doaj-art-aea994c6931a496187d63e0b39842e36
institution Kabale University
issn 1001-9669
language zho
publishDate 2017-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-aea994c6931a496187d63e0b39842e362025-01-15T02:33:27ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692017-01-01391026103030599515GEAR FAULT DIAGNOSIS BASED ON THE FREQUENCY SLICE WAVELET TRANSFORM TIME-FREQUENCY ANALYSIS METHODCAI JianHuaHUANG GuoYuLI XiaoQinIn order to extract the gear fault characteristics under the strong noise condition,a fault feature separation and extraction method was proposed based on a new time-frequency decomposition method,the frequency slice wavelet transform( FSWT). Firstly,the signal was processed with the FSWT to get its time-frequency distribution. Then the time and frequency intervals,which contain the fault feature, were chosen to do threshold de-noising in time-frequency domain. Through reconstructing signals from the characteristic frequency slices,separation and extraction of time-frequency features were realized.The proposed method was shown to be efficient by simulations and engineering applications. It has the ability to isolate the desired components from noisy signals. It achieves an ideal effect on feature extraction for gear fault diagnosis.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.05.005Frequency slice wavelet transformTime-frequency analysisGearFault diagnosis
spellingShingle CAI JianHua
HUANG GuoYu
LI XiaoQin
GEAR FAULT DIAGNOSIS BASED ON THE FREQUENCY SLICE WAVELET TRANSFORM TIME-FREQUENCY ANALYSIS METHOD
Jixie qiangdu
Frequency slice wavelet transform
Time-frequency analysis
Gear
Fault diagnosis
title GEAR FAULT DIAGNOSIS BASED ON THE FREQUENCY SLICE WAVELET TRANSFORM TIME-FREQUENCY ANALYSIS METHOD
title_full GEAR FAULT DIAGNOSIS BASED ON THE FREQUENCY SLICE WAVELET TRANSFORM TIME-FREQUENCY ANALYSIS METHOD
title_fullStr GEAR FAULT DIAGNOSIS BASED ON THE FREQUENCY SLICE WAVELET TRANSFORM TIME-FREQUENCY ANALYSIS METHOD
title_full_unstemmed GEAR FAULT DIAGNOSIS BASED ON THE FREQUENCY SLICE WAVELET TRANSFORM TIME-FREQUENCY ANALYSIS METHOD
title_short GEAR FAULT DIAGNOSIS BASED ON THE FREQUENCY SLICE WAVELET TRANSFORM TIME-FREQUENCY ANALYSIS METHOD
title_sort gear fault diagnosis based on the frequency slice wavelet transform time frequency analysis method
topic Frequency slice wavelet transform
Time-frequency analysis
Gear
Fault diagnosis
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.05.005
work_keys_str_mv AT caijianhua gearfaultdiagnosisbasedonthefrequencyslicewavelettransformtimefrequencyanalysismethod
AT huangguoyu gearfaultdiagnosisbasedonthefrequencyslicewavelettransformtimefrequencyanalysismethod
AT lixiaoqin gearfaultdiagnosisbasedonthefrequencyslicewavelettransformtimefrequencyanalysismethod