ARMA 계수의 신경회로망 적용에 의한 베어링 진단 기법에 관한 연구

Various diagnostic techniques have been proposed according to the development of the engineering. and the machine elements. Specially. since the bearing is an essential component in rotating Machine. Many researchers have been done an earler detection and a exact diagnosis of defects on bearing. In this study, the technique which differ from past diagnosises techniques in frequency domain such as Spectral analysis is proposed. Parametric ARMA model was utilized to define the system using tire series directly. Based on the resulted ARMA parameters, more precies and faster diagnosis system through Neural network was presented.