Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection

In the sound and vibration analysis, dynamic data acquisition plays important role. Dynamic data acquisition not only means acquire data but analyse it according to the complexity of the signals generating from the source of vibration. Accuracy of result depends upon the accuracy with which signal p...

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Autores principales:	Amit R. Bhende, Gajanan Awari, Sachin P. Untawale
Formato:	article
Lenguaje:	EN
Publicado:	Japanese Society of Tribologists 2013
Materias:	vibration frequency order model fft ceramic ball 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/a20ee99daca54edabab398c8f02b09a5
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id	oai:doaj.org-article:a20ee99daca54edabab398c8f02b09a5
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spelling	oai:doaj.org-article:a20ee99daca54edabab398c8f02b09a52021-11-05T09:24:16ZAlgorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection1881-219810.2474/trol.8.192https://doaj.org/article/a20ee99daca54edabab398c8f02b09a52013-04-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/trol/8/3/8_192/_pdf/-char/enhttps://doaj.org/toc/1881-2198In the sound and vibration analysis, dynamic data acquisition plays important role. Dynamic data acquisition not only means acquire data but analyse it according to the complexity of the signals generating from the source of vibration. Accuracy of result depends upon the accuracy with which signal processing technique is selected. However present work, a comprehensive condition monitoring algorithm is proposed. This algorithm classify the signal according to its behavior with respect to frequency and time characteristics and then select the signal processing technique to acquire a meaningful results. This system not only selects the signal processing technique but also gives the type of bearing defect generating the vibration signals.Amit R. BhendeGajanan AwariSachin P. UntawaleJapanese Society of Tribologistsarticlevibrationfrequencyordermodelfftceramic ballPhysicsQC1-999Engineering (General). Civil engineering (General)TA1-2040Mechanical engineering and machineryTJ1-1570ChemistryQD1-999ENTribology Online, Vol 8, Iss 3, Pp 192-194 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	vibration frequency order model fft ceramic ball Physics QC1-999 Engineering (General). Civil engineering (General) TA1-2040 Mechanical engineering and machinery TJ1-1570 Chemistry QD1-999
spellingShingle	vibration frequency order model fft ceramic ball Physics QC1-999 Engineering (General). Civil engineering (General) TA1-2040 Mechanical engineering and machinery TJ1-1570 Chemistry QD1-999 Amit R. Bhende Gajanan Awari Sachin P. Untawale Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection
description	In the sound and vibration analysis, dynamic data acquisition plays important role. Dynamic data acquisition not only means acquire data but analyse it according to the complexity of the signals generating from the source of vibration. Accuracy of result depends upon the accuracy with which signal processing technique is selected. However present work, a comprehensive condition monitoring algorithm is proposed. This algorithm classify the signal according to its behavior with respect to frequency and time characteristics and then select the signal processing technique to acquire a meaningful results. This system not only selects the signal processing technique but also gives the type of bearing defect generating the vibration signals.
format	article
author	Amit R. Bhende Gajanan Awari Sachin P. Untawale
author_facet	Amit R. Bhende Gajanan Awari Sachin P. Untawale
author_sort	Amit R. Bhende
title	Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection
title_short	Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection
title_full	Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection
title_fullStr	Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection
title_full_unstemmed	Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection
title_sort	algorithm for selecting signal processing technique in vibration based bearing fault detection
publisher	Japanese Society of Tribologists
publishDate	2013
url	https://doaj.org/article/a20ee99daca54edabab398c8f02b09a5
work_keys_str_mv	AT amitrbhende algorithmforselectingsignalprocessingtechniqueinvibrationbasedbearingfaultdetection AT gajananawari algorithmforselectingsignalprocessingtechniqueinvibrationbasedbearingfaultdetection AT sachinpuntawale algorithmforselectingsignalprocessingtechniqueinvibrationbasedbearingfaultdetection
_version_	1718444365121060864

Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection

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