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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