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基于人工神经网络的在线设备状态监测系统的研究
引用本文:骆德汉,郎文辉,黄胜.基于人工神经网络的在线设备状态监测系统的研究[J].电子科技大学学报(自然科学版),1999,28(5):527-532.
作者姓名:骆德汉  郎文辉  黄胜
作者单位:1.合肥经济技术学院机电系 合肥 230052
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。

关 键 词:人工神经网络    在线状态监测    故障诊断    卷烟机MK9-5
收稿时间:1998-12-10

Development of An On-line Condition Monitoring System Based on Neural Networks(in English)
Luo Dehan,Lan Wenhui,Huang Sheng.Development of An On-line Condition Monitoring System Based on Neural Networks(in English)[J].Journal of University of Electronic Science and Technology of China,1999,28(5):527-532.
Authors:Luo Dehan  Lan Wenhui  Huang Sheng
Affiliation:1.Dept. of Mechanical and Electrical Engineering,Hefei institute of Ecollomics and Technology Hefei 230052
Abstract: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,concentrating on the work carried out at the MK9-5 cigarette machine.
Keywords:
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