Fault diagnosis of hydraulic control system based on wavelet analysis and NN

摘要

This paper commences by making a comparison of several diagnostic techniques for hydraulic servo systems. It then proceeds to develop a neural network method which involves the use of a wavelet filter. The principal thrust of the work is to use the sensitivity of the wavelet filter to capture the abrupt changes that occur in hydraulic systems and to use the high efficiency of the neural network to isolate the fault class.