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Vibration fault is the main fault of hydraulic generator set. From the analysis of vibration signal, it provides a wealthy of information for fault diagnosis. This paper presents a hybrid approach of neural network to realize automatic diagnosis. Pulse coupled neural network (PCNN) has very strong capability in the feature extraction, and entropy time signature from a PCNN has the property of insensitive...
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