煤矿皮带运输机故障分析及诊断  

Fault Analysis and Diagnosis of Belt Conveyor in Coal Mines

作　　者：赵盾 ZHAO Dun(Sa fety Technology Center,Shanxi Administration of Coal Mine Sa fety,Taiyuan 030000,China)

机构地区：[1]山西煤矿安全监察局安全技术中心,太原030000

出　　处：《山西煤炭》2021年第2期111-114,共4页Shanxi Coal

摘　　要：针对皮带运输机的主要故障部件进行分析,阐述了几种部件的主要故障形式与诊断方法。通过故障树模型,建立皮带运输机的故障框架,对故障失效形式逐级分析;利用多元信息预测技术,融合BP神经网络与D-S证据理论建立皮带运输机的故障预测机制;通过故障数据树与预测机制,实现皮带运输机工况系数的多元信息处理功能,以事件概率的方式,更合理地评估皮带运输机故障类型,准确地定位故障原因及故障位置,有效避免安全事故的发生。The article analyzes the main fault components andintroduces their failure forms and diagnosis methods for belt conveyors.By the fault tree model,we established a framework to analyze the failure forms step by step;by the multi-information prediction technology,we integrated BP neural network with D-S evidence theory to establish a fault prediction mechanism for the belt conveyors.Through the fault data tree and prediction mechanism,the multi-information processing of working condition coefficient was realized;by means of event probability,it could evaluate the fault types reasonably and locate the failure causes and positions accurately,which could effectively avoid safety accidents.

关 键 词：皮带运输机 故障分析 诊断模型 预测机制 

分 类 号：TD52[矿业工程—矿山机电]