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基于信息融合的煤矿设备故障诊断系统研究

he Coalmine Equipment Fault Diagnosis System Based on Information Fusion

中文摘要英文摘要

对于煤矿设备故障具有复杂性和多样性的特点,仅采用单一的人工智能理论和诊断方法不能对设备的整体健康状况做出综合评判,诊断可靠性和准确性不高。而信息融合技术在故障诊断领域比传统诊断方法具有更好的效果,本文将信息融合技术引入煤矿设备故障诊断领域,综合利用设备各种征兆的信息,充分利用设备故障的各种特征量,加以融合利用,解决煤矿设备故障诊断问题。

For the coal mine equipment failure with the complexity and the diversity ,Using only a single method of artificial intelligence theory can not make a comprehensive evaluation health status, diagnostic reliability and accuracy is not high. The Information Fusion in the field of fault diagnosis is better compared with conventional diagnostic methods. This article introduces information fusion technology into the field of coal mine equipment fault diagnosis, comprehensive utilization of various information of the mine equipment failure, take full advantage of the various features of the amount of equipment failure, to solve the fault diagnosis problem.

胡晓磊、吕振华、任国华、刘新军

矿山机械

故障诊断煤矿设备信息融合

Fault Diagnosisoalmine equipmentInformation fusion

胡晓磊,吕振华,任国华,刘新军.基于信息融合的煤矿设备故障诊断系统研究[EB/OL].(2010-12-09)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/201012-270.点此复制

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