APPLICATION OF THE FULL VECTOR SPECTRUM BASED ON EMD IN FAULT DIAGNOSIS OF BEARINGS

Aiming at the deficiency of the analysis of single channel signal EMD and dual channel signal traditional full vector spectrum analysis,this paper presents the full vector spectrum extraction based on EMD.The method of vibration signals collected from the same cross section of the two perpendicular...

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Main Authors: CHEN Chao, MENG YaJun, DU YunLong, HUANG ChuanJin
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2015-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2015.05.015
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author CHEN Chao
MENG YaJun
DU YunLong
HUANG ChuanJin
author_facet CHEN Chao
MENG YaJun
DU YunLong
HUANG ChuanJin
author_sort CHEN Chao
collection DOAJ
description Aiming at the deficiency of the analysis of single channel signal EMD and dual channel signal traditional full vector spectrum analysis,this paper presents the full vector spectrum extraction based on EMD.The method of vibration signals collected from the same cross section of the two perpendicular on the sensor,then use EMD on each signal respectively,so that the two signals are decomposed into several IMF components.By the fusion of the IMF component,we can get the full vector spectrum based on obtained EMD.The simulation results show that,the method of obtaining fault characteristics is more comprehensive,accurate.The analysis results of bearing fault vibration signals of TRT generating units in a power rating of3000 KW,further shows the feasibility and effectiveness of the method.
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institution Kabale University
issn 1001-9669
language zho
publishDate 2015-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-a7a7bfa9bed84e1488c08fe503496da72025-01-15T02:37:44ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692015-01-013780681130592505APPLICATION OF THE FULL VECTOR SPECTRUM BASED ON EMD IN FAULT DIAGNOSIS OF BEARINGSCHEN ChaoMENG YaJunDU YunLongHUANG ChuanJinAiming at the deficiency of the analysis of single channel signal EMD and dual channel signal traditional full vector spectrum analysis,this paper presents the full vector spectrum extraction based on EMD.The method of vibration signals collected from the same cross section of the two perpendicular on the sensor,then use EMD on each signal respectively,so that the two signals are decomposed into several IMF components.By the fusion of the IMF component,we can get the full vector spectrum based on obtained EMD.The simulation results show that,the method of obtaining fault characteristics is more comprehensive,accurate.The analysis results of bearing fault vibration signals of TRT generating units in a power rating of3000 KW,further shows the feasibility and effectiveness of the method.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2015.05.015Empirical mode decompositionFull vector spectrumTRT generatorFault diagnosisHomologous information fusionSliding bearing
spellingShingle CHEN Chao
MENG YaJun
DU YunLong
HUANG ChuanJin
APPLICATION OF THE FULL VECTOR SPECTRUM BASED ON EMD IN FAULT DIAGNOSIS OF BEARINGS
Jixie qiangdu
Empirical mode decomposition
Full vector spectrum
TRT generator
Fault diagnosis
Homologous information fusion
Sliding bearing
title APPLICATION OF THE FULL VECTOR SPECTRUM BASED ON EMD IN FAULT DIAGNOSIS OF BEARINGS
title_full APPLICATION OF THE FULL VECTOR SPECTRUM BASED ON EMD IN FAULT DIAGNOSIS OF BEARINGS
title_fullStr APPLICATION OF THE FULL VECTOR SPECTRUM BASED ON EMD IN FAULT DIAGNOSIS OF BEARINGS
title_full_unstemmed APPLICATION OF THE FULL VECTOR SPECTRUM BASED ON EMD IN FAULT DIAGNOSIS OF BEARINGS
title_short APPLICATION OF THE FULL VECTOR SPECTRUM BASED ON EMD IN FAULT DIAGNOSIS OF BEARINGS
title_sort application of the full vector spectrum based on emd in fault diagnosis of bearings
topic Empirical mode decomposition
Full vector spectrum
TRT generator
Fault diagnosis
Homologous information fusion
Sliding bearing
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2015.05.015
work_keys_str_mv AT chenchao applicationofthefullvectorspectrumbasedonemdinfaultdiagnosisofbearings
AT mengyajun applicationofthefullvectorspectrumbasedonemdinfaultdiagnosisofbearings
AT duyunlong applicationofthefullvectorspectrumbasedonemdinfaultdiagnosisofbearings
AT huangchuanjin applicationofthefullvectorspectrumbasedonemdinfaultdiagnosisofbearings