基于人工神经网络的在线设备状态监测系统的研究

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

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。

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.