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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Editorial Office of Journal of Mechanical Strength
2017-01-01
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Series: | Jixie qiangdu |
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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 |