Fault Detection and Diagnosis of Gear System Based on Higher Order Cumulants

Abstract

Abstract: The features and characteristics of (HOC)are discussed. Relevant signal processing technologies based on HOC, and the unique function in processing non-linear characteristics of random signals are analyzed. The vibration signal processing technologies based on HOC, such as bispectrum, 1.5-spectrum and bicoherence, are studied, and the characteristics and estimation algorithm of them are discussed. On that basis, HOC is introduced into the fault diagnosis of mechanical transmission gear systems. Tests are carried out on transmission systems with different sizes and different types of faults, and the fault features of systems are extracted and fault patterns are identified. Besides, the effect of practical application of HOC theory is evaluated, which indicates that the HOC is an ideal and effective method for the fault diagnosis of gear transmission system.

Key words: Fault diagnosis, Feature extraction, Gear transmission system, Higher order cumulants

CLC Number:

TH113.1

SHAO Renping;HUANG Xinna;LIU Hongyu;XU Yongqiang. Fault Detection and Diagnosis of Gear System Based on Higher Order Cumulants[J]. , 2008, 44(6): 161-168.

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Fault Detection and Diagnosis of Gear System Based on Higher Order Cumulants

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