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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Title: Time-Frequency Based Machine Condition Monitoring and Fault Diagnosis
Author: Mesbah, M; Boashash, B; Mathew, J
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.
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).
URI: http://hdl.handle.net/10576/10799
Date: 2003

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