首页> 外文会议>International Conference on Industrial Control and Electronics Engineering;ICICEE 2012 >Fault Diagnosis of Coal Mine Hoist Electrical Control System Based on Fuzzy Rough Set
【24h】

Fault Diagnosis of Coal Mine Hoist Electrical Control System Based on Fuzzy Rough Set

机译:基于模糊粗糙集的煤矿提升机电气控制系统故障诊断。

获取原文
获取原文并翻译 | 示例

摘要

Based on fuzzy rough set theory a novel fault diagnosis for the coal mine hoist electrical control system is proposed in the paper. The process of the mine hoist is introduced, and the working principle of the electronic control system is described. The fault types of the coal mine hoist are classified, and the fault sources of different kind of faults are analyzed. The different fault rules are established with fuzzy logical set theory. By rough set theory the fault features are abstracted and the fault rules are simplified. The primary research results show that the suggested method can find the characteristic parameters in the much fault information of the coal mine hoist electrical control system, and it is very helpful to deal with imprecise information of each system fault source signal, and to diagnose fault through the fuzzy rough set theory.
机译:基于模糊粗糙集理论,提出了一种新型的煤矿提升机电气控制系统故障诊断方法。介绍了矿井提升机的过程,并描述了电子控制系统的工作原理。对煤矿提升机的故障类型进行分类,并分析各种故障类型的故障源。利用模糊逻辑集理论建立了不同的故障规则。通过粗糙集理论,对故障特征进行了抽象,简化了故障规则。初步研究结果表明,该方法能够在煤矿提升机电气控制系统的大量故障信息中找到特征参数,对处理每个系统故障源信号的信息不准确,通过故障诊断具有非常重要的意义。模糊粗糙集理论。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号