기계상태의 변화를 온라인으로 탐지하기 위한 Radial Basis 하이브리드 뉴럴네트워크 모델링

Radial Basis Hybrid Neural Network Modeling for On-line Detection of Machine Condition Change

A radial basis hybrid neural network (RHNN) is presented for an on-line detection of machine condition change. Two-phase modeling by RHNN is designed for describing a machine condition process and for predicting future signal. A moving block procedure is also designed for detecting a process change. A fast on-line learning algorithm, the recursive least square estimation, is introduced. Experimental results showed the RHNN could be utilized efficiently for on-line machine condition monitoring.