Machine Fault Diagnosis System Using Neural Networks
Toshiyuki ASAKURA, Baojie XU, Shoji Hayashi, Takashi Kobayashi · Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications · 1997
This paper describes a method on machine fault diagnosis system using neural networks and spectral analysis. As fault diagnosing signal, the sound signal of machine can be used. Through simulation experiments, it was certified that the failure of machine was diagnosed based on the spectrum of sound signal including noise. Also, it was verified that, using the reaｌ data of sound signal, the fault diagnosis system proposed here can be applied to the practical machine.