Publication series : Bearing Technology
Author: Tian Ran Lin Kun Yu and Jiwen Tan
Publisher: IntechOpen
Publication year: 2017
E-ISBN: INT6326267143
P-ISBN(Paperback): 9789535131830
P-ISBN(Hardback): 9789535131847
Subject: TB47 Industrial Design
Keyword: 工业设计
Language: ENG
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Condition Monitoring and Fault Diagnosis of Roller Element Bearing
Description
Rolling element bearings play a crucial role in determining the overall health condition of a rotating machine. An effective condition-monitoring program on bearing operation can improve a machine’s operation efficiency, reduce the maintenance/replacement cost, and prolong the useful lifespan of a machine. This chapter presents a general overview of various condition-monitoring and fault diagnosis techniques for rolling element bearings in the current practice and discusses the pros and cons of each technique. The techniques introduced in the chapter include data acquisition techniques, major parameters used for bearing condition monitoring, signal analysis techniques, and bearing fault diagnosis techniques using either statistical features or artificial intelligent tools. Several case studies are also presented in the chapter to exemplify the application of these techniques in the data analysis as well as bearing fault diagnosis and pattern recognition.
Chapter