采煤机故障诊断技术现状及其发展趋势  

Diagnosis of Shearer Faults and Development Trend

作　　者：胡俊[1] 张世洪[1] 汪崇建[1] 

机构地区：[1]煤炭科学研究总院上海分院,上海200030

出　　处：《煤矿机械》2008年第9期8-10,共3页Coal Mine Machinery

摘　　要：概述了当前的采煤机故障诊断技术现状,举出几种目前常用的采煤机故障诊断方法;并指出专家系统、人工神经网络、远程智能故障诊断是采煤机故障诊断技术的研究热点和发展趋势。The status of the present technologies to diagnose the malfunction of the shearer were generalized, and the common methods were specialized that have for the moment. Moreover, it demonstrates the trend and the focus of the research on the diagnosis of the shearer is to develop the expert system, the artificial neural networks and the remote intelligence diagnosis.

关 键 词：采煤机 故障诊断 专家系统 神经网络 远程智能故障诊断 

分 类 号：TD421.6[矿业工程—矿山机电] TP306[自动化与计算机技术—计算机系统结构]