Proceedings of the Korean Operations and Management Science Society Conference (한국경영과학회:학술대회논문집)
- 1994.04a
- /
- Pages.149-158
- /
- 1994
On-line learning prediction of machine condition
온라인 학습에 의한 기계상태의 예측
Abstract
A radial basis hybrid neural network (RHNN) is presented for on-line prediction of machine condition. A modular-based neural architecture is designed for modeling a machine condition process and for predicting future signal. A fast on-line learning algorithm is introduced. Experimental results showed the RHNN could be utilized efficiently for on-line machine condition monitoring.
Keywords