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In this paper, a fault diagnosis system is proposed for rolling bearing using wavelet packet transform (WPT), particle swarm optimization (PSO) algorithm with differential operator named PSO-DV and back-propagation neural network (BPNN) techniques. In the preprocessing of vibration signals, WPT coefficients are used for evaluating their entropy and treated as the features to distinguish the fault...
In the present study, an expert system is developed to identify and classify fault condition for diesel engine. Vibration signals are collected on a diesel engine test platform. Wavelet packet analysis (WPA) coefficients of vibration signals are used for evaluating their Shannon entropy and treated as the features to identify the fault conditions of diesel engine in the preprocessing. A back-propagation...
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