Fault diagnosis method for machinery in unsteady operating condition by instantaneous power spectrum and genetic programming，成果详细信息-中国科技论文在线

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Fault diagnosis method for machinery in unsteady operating condition by instantaneous power spectrum and genetic programming

何正嘉， Peng Chena ， * ， Masatoshi Taniguchib ， Toshio Toyotab ， Zhengja Hec

Mechanical Systems and Signal Processing 19(2005)175-194，-0001，（）：

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摘要/描述

This paper proposes a fault diagnosis method for plant machinery in an unsteady operating condition using instantaneous power spectrum (IPS) and genetic programming (GP). IPS is used to extract feature frequencies of each machine state from measured vibration signals for distinguishing faults by relative crossing information. Excellent symptom parameters for detecting faults are automatically generated by the GP. The excellent symptom parameters generated by GP can sensitively reflect the characteristics of signals for precise diagnosis. The method proposed in this paper is verified by applying it to the fault diagnosis of a rolling bearing.

关键词: Machinery fault diagnosis ， Unsteady operating condition ， Genetic programming ， Instantaneous power spectrum ， Relative crossing information ， Rolling bearing

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