分布式数据采集系统和集成神经网络在风机故障诊断中的应用  

Application of a Distributed Data Collecting System and Integrated Neural Network in Fan Fault Dignosis

作　　者：王丹民[1] 

机构地区：[1]东北大学设备诊断工程中心,辽宁沈阳110006

出　　处：《本溪冶金高等专科学校学报》2002年第1期23-25,46,共4页Journal of Benxi College of Metallurgy

摘　　要：介绍一种将故障诊断理论应用于工业现场的方案———基于分布式数据采集系统和集成神经网络的大型风机在线监测和故障诊断系统。系统利用自行开发的FADM - 4 0 0 0模块采集处理振动信号 ,利用集成神经网络模型对大型风机进行在线故障识别。并通过一应用实例 。The paper presents a program for applying fault-diagnosing principle on industrial spot,a design of on-line moniforing and fault-diagnosing system for massive fan based on distributed data collecting system and integrated neural network,whick uses self-developed module FADM-4000 in collecting and processing vibration signals and used integrated neural network in identifying on-line fan fault,and its effectiveness is confirmed with a practical illustration.

关 键 词：分布式数据采集系统 风机 故障诊断 集成神经网络 

分 类 号：TH4[机械工程—机械制造及自动化] TP274.2[自动化与计算机技术—检测技术与自动化装置]