基于人工神经网络的在线设备状态监测系统的研究(英文)  

Development of an On-line Condition Monitoring System Based on Neural Networks

作　　者：骆德汉[1] 郎文辉[1] 黄胜[1] 

机构地区：[1]合肥经济技术学院机电系,合肥230052

出　　处：《电子科技大学学报》1999年第5期527-532,共6页Journal of University of Electronic Science and Technology of China

摘　　要：研究了基于人工神经网络在线设备状态监测系统，简要介绍了人工神经网络的基础理论，描述了基于人工神经网络在线设备状态监测系的结构和工作过程，给出该系统对卷烟机MK9-5的状态监测和故障诊断的结果。实验结果表明，将多层前馈人工种经网络用于设备在线状态监测具有较好的效果，并可对设备故障进行可靠诊断。In this paper, the development of an on-line condition monitoring system is discussed based on the neural networks for MK9-5 cigarette machine. This paper gives an introduction of the basic background theory of artificial neural networks, and describes the structure of the condition monitoring system based on neural network. The application of neural network to actual condition monitoring task is also analyzed,concelltrating on the work carried out at the MK9-5 cigarette machine.

关 键 词：人工神经网络 在线状态监测 故障诊断 卷烟机MK9-5 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] TS43[自动化与计算机技术—控制科学与工程]