Time-Frequency Based Machine Condition Monitoring and Fault Diagnosis

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Time-Frequency Based Machine Condition Monitoring and Fault Diagnosis

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dc.contributor.author Mesbah, M
dc.contributor.author Boashash, B
dc.contributor.author Mathew, J
dc.date.accessioned 2012-03-06T18:55:42Z
dc.date.available 2012-03-06T18:55:42Z
dc.date.issued 2003
dc.identifier.citation Time-Frequency Signal Analysis & Processing: A Comprehensive Reference, Elsevier Science, Oxford, 2003, Chapter 15, Article 15.6, pages 671-682 en_US
dc.identifier.isbn 0080443354
dc.identifier.isbn 9780080443355
dc.identifier.uri http://hdl.handle.net/10576/10799
dc.description This Article shows that time-frequency analysis methods are applicable to the area of machine condition monitoring and diagnosis such as detection, classification, and monitoring the progression of the faults and wear with time for prediction and prevention of failures. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354). In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated). en_US
dc.description.abstract Time-frequency analysis methods are applicable to the area of machine condition monitoring and diagnosis. They are capable of efficiently and unambiguously char- acterizing a large number of faults. TFA methods are used for detection, classi- fication, and monitoring the progression of the faults and wear with time. This enables prediction and prevention of catastrophic failures. Time-frequency analysis techniques, in the form of either TFD or WT, are used as both visual indicators of the presence of faults and as a feature extractor in a fully automated pattern recognition process. Articles 11.2 and 15.2 of this book describe two other time-frequency approaches to machine condition monitoring. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject time-frequency analysis en_US
dc.subject fault detection en_US
dc.subject time-frequency distributions en_US
dc.subject TFDs en_US
dc.subject Feature extraction en_US
dc.subject Quadratic TFDs en_US
dc.subject Gearbox fault detection en_US
dc.subject WVD en_US
dc.subject Wigner-Ville Distribution en_US
dc.subject Wavelet transform en_US
dc.subject vibration signal en_US
dc.subject rotating machinery en_US
dc.subject Bearing fault transient en_US
dc.title Time-Frequency Based Machine Condition Monitoring and Fault Diagnosis en_US
dc.type Book chapter en_US

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