首页> 外文会议>International Symposium on Test and Measurement >Application Study of Data Mining Technique in Open-air Colliery Equipments Fault Diagnosis
【24h】

Application Study of Data Mining Technique in Open-air Colliery Equipments Fault Diagnosis

机译:数据采矿技术在露天煤矿设备故障诊断中的应用研究

获取原文

摘要

In this paper, aiming at the fault phenomenon of many colliery electromechanic equipments can't be expressed with the structural data, and the traditional expert system that based on the rule reasoning is very difficult to extracting the rule, to put forward a kind of method that regard the numerous diagnosis case examples that already had in the past and the faults that possibly occur and the elimination project as the knowledge source, to set up a structure frame of the data mining system that was adopted in the fault diagnosis of the excavate coal equipments, which based on the association rule, and to discuss the data mining based on the association rules of the singlelayer fault and the multilayer fault in the excavate coal equipments system.
机译:在本文中,针对许多煤矿机电设备的故障现象不能用结构数据表达,以及基于规则推理的传统专家系统非常难以提取规则,提出一种方法这就像过去已经拥有的许多诊断案例和可能发生的故障和作为知识来源的消除项目,以建立在挖掘煤的故障诊断中采用的数据挖掘系统的结构框架基于关联规则的设备,并讨论了基于单层故障关联规则的数据挖掘和挖掘煤设备系统中的多层故障。

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