Vol.39 No.3

Journal of Xi'an Jiaotong University

Mar.2005

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Fault Diagnosis of Rolling Bearings Based on Chaos and Symbol Sequence Statistics
Li Chongsheng£¬Qu Liangsheng
(School of Mechanical Engineering,Xi'an Jiaotong University,Xi'an 710049,China)
Abstract:The fault characteristic signals of rolling bearings are in low frequency band,and the useful signals are often buried in noise and difficult to be detected.In this research a method based on chaotic oscillator and symbol sequence statistics was presented to diagnose rolling bearings fault,using the character of chaotic oscillator being sensitive to weak periodic signal.The symbol sequence statistics was used to recognize the states of chaotic oscillator accurately and automatically,and then the fault could be identified.Diagnosis of rolling ball fault and inner race fault of rolling bearings confirm the effectiveness of this method£®
Keywords:chaotic oscillator;symbol sequence statistics;rolling bearing;fault diagnosis