选煤厂设备智能故障诊断系统设计  

Design of Intelligent Fault Diagnosis System for Equipment in Coal Preparation Plant

作　　者：韩龙 Han Long(Guandi Coal Preparation Plant,Xishan Coal and electricity Group Co.,Ltd.,Taiyuan 030022)

机构地区：[1]西山煤电(集团)有限责任公司官地选煤厂,山西太原030022

出　　处：《江西煤炭科技》2021年第3期205-207,共3页Jiangxi Coal Science & Technology

摘　　要：在分析选煤厂设备基本故障的基础上,根据BP神经网络原理设计智能故障诊断模型并提出智能故障诊断方案,重点设计设备智能故障诊断知识库、推理机。对所提智能故障诊断方案进行仿真,结果表明:该方案能够准确、快速、有效的定位设备故障。On the basis of analyzing the basic faults of coal preparation plant equipment,the author designs an intelligent fault diagnosis model based on the principle of BP neural network and proposes an intelligent fault diagnosis plan,focusing on designing equipment intelligent fault diagnosis knowledge base and reasoning engine.The simulation of the proposed intelligent fault diagnosis scheme shows that the scheme can locate equipment faults accurately,quickly and effectively.

关 键 词：选煤厂 故障诊断 BP神经网络 知识库 推理机 

分 类 号：TD948.9[矿业工程—选矿]