摘要
为解决煤矿高压电缆线路状况评价和预警检测问题,在分析煤矿高压电缆故障状态特征的基础上,运用神经网络对数据进行局部诊断,建立了煤矿高压电缆故障诊断的神经网络专家系统(ANNES)。主要介绍了煤矿高压电缆故障诊断系统的总体结构设计、知识库和推理机以及解释器的建立方法。仿真结果表明,该故障诊断系统具有检测故障识别率高、方便灵活、实时性和准确性强的特点。
In order to solve the problem of judging the state of the high-voltage cable line in the coal mine and the problem of advanced detection.Based on the analysis of fault characteristics of coal mine high voltage cable lines,an integrated neural network expert system(ANNES)integrated mine high voltage cable fault diagnosis system was constructed.The overall structure design of the fault diagnosis system for high voltage cable lines in coal mines,the knowledge base and inference engine,and the establishment method of interpreters are mainly introduced.Simulation results show that the fault diagnosis system has high real-time and diagnostic accuracy.
作者
韩泰然
HAN Tai-ran(State Key Laboratory of Coking Coal Exploitationand Comprehensive Utilization,China Pingmei Shenma Group,Pingdingshan 467099,China;Institute of Energy and Chemical Industry,China Pingmei Shenma Group,Pingdingshan 467099,China)
出处
《煤炭技术》
CAS
2019年第11期177-180,共4页
Coal Technology
关键词
高压电缆
神经网络
专家系统
故障诊断
high voltage cable
neural network
expert system
fault diagnosis
