Evaluation of Acoustic Emission Sources during Monitoring of Incipient Damage Detection in Rolling Contact Fatigue

The study highlighted the potentiality and effectiveness of Acoustic Emission (AE) signals monitoring along with data clustering analysis as a powerful tool applicable to the rolling elements under examination for incipient damage failure. The AE technique was applied to rollers in contact using rol...

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Autores principales:	Md. Ziaur Rahman, Hiroaki Ohba, Takeo Yoshioka, Takashi Yamamoto
Formato:	article
Lenguaje:	EN
Publicado:	Japanese Society of Tribologists 2008
Materias:	rolling element acoustic emission signals condition monitoring incipient damage clustering pattern recognition Physics QC1-999 Engineering (General). Civil engineering (General) TA1-2040 Mechanical engineering and machinery TJ1-1570 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/8666321510be4f2a9a3c0402c5abc731
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spelling	oai:doaj.org-article:8666321510be4f2a9a3c0402c5abc7312021-11-05T09:29:17ZEvaluation of Acoustic Emission Sources during Monitoring of Incipient Damage Detection in Rolling Contact Fatigue1881-219810.2474/trol.3.105https://doaj.org/article/8666321510be4f2a9a3c0402c5abc7312008-04-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/trol/3/2/3_2_105/_pdf/-char/enhttps://doaj.org/toc/1881-2198The study highlighted the potentiality and effectiveness of Acoustic Emission (AE) signals monitoring along with data clustering analysis as a powerful tool applicable to the rolling elements under examination for incipient damage failure. The AE technique was applied to rollers in contact using rolling contact fatigue test-rig running under constant load and speed for detecting the incipient damage initiation and its damage location. The results demonstrated the successful use of the AE activity monitoring combination with AE source locator and AE data analyzer as a new technique for incipient damage detection. The recorded AE signals from run-to-incipient damage life testing were investigated by unsupervised clustering analysis to examine and to produce numerical validation of the results by separating AE sources data into several classes that reflected the internal structure of the data during contact. A methodology including descriptor selection, methods, procedures for numerical verification and cluster validity criteria were followed.Md. Ziaur RahmanHiroaki OhbaTakeo YoshiokaTakashi YamamotoJapanese Society of Tribologistsarticlerolling elementacoustic emission signalscondition monitoringincipient damageclusteringpattern recognitionPhysicsQC1-999Engineering (General). Civil engineering (General)TA1-2040Mechanical engineering and machineryTJ1-1570ChemistryQD1-999ENTribology Online, Vol 3, Iss 2, Pp 105-109 (2008)
institution	DOAJ
collection	DOAJ
language	EN
topic	rolling element acoustic emission signals condition monitoring incipient damage clustering pattern recognition Physics QC1-999 Engineering (General). Civil engineering (General) TA1-2040 Mechanical engineering and machinery TJ1-1570 Chemistry QD1-999
spellingShingle	rolling element acoustic emission signals condition monitoring incipient damage clustering pattern recognition Physics QC1-999 Engineering (General). Civil engineering (General) TA1-2040 Mechanical engineering and machinery TJ1-1570 Chemistry QD1-999 Md. Ziaur Rahman Hiroaki Ohba Takeo Yoshioka Takashi Yamamoto Evaluation of Acoustic Emission Sources during Monitoring of Incipient Damage Detection in Rolling Contact Fatigue
description	The study highlighted the potentiality and effectiveness of Acoustic Emission (AE) signals monitoring along with data clustering analysis as a powerful tool applicable to the rolling elements under examination for incipient damage failure. The AE technique was applied to rollers in contact using rolling contact fatigue test-rig running under constant load and speed for detecting the incipient damage initiation and its damage location. The results demonstrated the successful use of the AE activity monitoring combination with AE source locator and AE data analyzer as a new technique for incipient damage detection. The recorded AE signals from run-to-incipient damage life testing were investigated by unsupervised clustering analysis to examine and to produce numerical validation of the results by separating AE sources data into several classes that reflected the internal structure of the data during contact. A methodology including descriptor selection, methods, procedures for numerical verification and cluster validity criteria were followed.
format	article
author	Md. Ziaur Rahman Hiroaki Ohba Takeo Yoshioka Takashi Yamamoto
author_facet	Md. Ziaur Rahman Hiroaki Ohba Takeo Yoshioka Takashi Yamamoto
author_sort	Md. Ziaur Rahman
title	Evaluation of Acoustic Emission Sources during Monitoring of Incipient Damage Detection in Rolling Contact Fatigue
title_short	Evaluation of Acoustic Emission Sources during Monitoring of Incipient Damage Detection in Rolling Contact Fatigue
title_full	Evaluation of Acoustic Emission Sources during Monitoring of Incipient Damage Detection in Rolling Contact Fatigue
title_fullStr	Evaluation of Acoustic Emission Sources during Monitoring of Incipient Damage Detection in Rolling Contact Fatigue
title_full_unstemmed	Evaluation of Acoustic Emission Sources during Monitoring of Incipient Damage Detection in Rolling Contact Fatigue
title_sort	evaluation of acoustic emission sources during monitoring of incipient damage detection in rolling contact fatigue
publisher	Japanese Society of Tribologists
publishDate	2008
url	https://doaj.org/article/8666321510be4f2a9a3c0402c5abc731
work_keys_str_mv	AT mdziaurrahman evaluationofacousticemissionsourcesduringmonitoringofincipientdamagedetectioninrollingcontactfatigue AT hiroakiohba evaluationofacousticemissionsourcesduringmonitoringofincipientdamagedetectioninrollingcontactfatigue AT takeoyoshioka evaluationofacousticemissionsourcesduringmonitoringofincipientdamagedetectioninrollingcontactfatigue AT takashiyamamoto evaluationofacousticemissionsourcesduringmonitoringofincipientdamagedetectioninrollingcontactfatigue
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Evaluation of Acoustic Emission Sources during Monitoring of Incipient Damage Detection in Rolling Contact Fatigue

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