Diagnosis and Analysis of Fault Based on Fuzzy-Neural Network Theory and Probability Theory
Yang Da-di · 2005
A fuzzy-neural network is constructed which extracts characteristics of fault in the work by main component analysis to confirm the amount of input in the fuzzy-neural network.Then dynamic clustering is used to classify faults that we got from practice,so that the amount of output is confirmed.The gathered samples are used to train the connected matrix of the fuzzy-neural network.And every single fuzzy-neural network is assembled to realize fault diagnosis.Finally the diagnosis process is provided with an example.