A Feature Extraction Method Based on Information Theory for Fault Diagnosis of Reciprocating Machinery

A Feature Extraction Method Based on Information Theory for Fault Diagnosis of Reciprocating Machinery

This paper proposes a feature extraction method based on information theory for fault diagnosis of reciprocating machinery. A method to obtain symptom parameter waves is defined in the time domain using the vibration signals, and an information wave is presented based on information theory, using th...

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Bibliographic Details
Main Authors:	Huaqing Wang, Peng Chen
Format:	Article
Language:	English
Published:	MDPI AG 2009-04-01
Series:	Sensors
Subjects:	Feature extraction Information theory Reciprocating Machinery Fault diagnosis Rolling element bearing Envelope Analysis
Online Access:	http://www.mdpi.com/1424-8220/9/4/2415/

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