Rotating machinery fault diagnosis based on wavelet fuzzy neural network

Abstract

According to complicated fault characteristic of rotating machinery, its fault diagnosis based on wavelet fuzzy neural network (WFNN) which combines wavelet packet analysis and fuzzy neural network is put forward. By using it, the fuzzy fault diagnosis of rotating machinery is realized. All the arithmetic process of WFNN is realized through the computer. The results of simulation and test indicate that this method has obvious advantage for dealing with multi-coupled fault situation, the diagnosis method is simple, quick and has high correctness of fault diagnoses, proving that the diagnosis method is effective and providing a theoretical basis and new way for the fault diagnosis of rotating machinery. © 2005 by International Federation for Information Processing.