Article,

Extracting and Optimizing Sound Features in Mechanical Fault Diagnosis Using Genetic Programming

, and .
Journal of Xi'an Jiaotong University, (December 2002)

Abstract

A fault detection method is introduced, which uses compound features optimised by genetic programming based on single features. Some single features can be combined to form a compound feature. A compound feature obtained from sound signals is used to diagnose faults of rolling bearings, and its effectiveness is verified in practice. Based on the method, a new method is presented, which is improved by the information fusion technique. The features from sound signals and vibration signals are combined, and a new compound feature can be obtained by genetic programming. This feature can be used to detect faults of rolling bearings with higher efficiency and reliability.

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