首页> 外文会议>2012 IEEE 17th Conference on Emerging Technologies amp; Factory Automation. >Process mining for alarm rationalization and fault patterns identification
【24h】

Process mining for alarm rationalization and fault patterns identification

机译:用于报警合理化和故障模式识别的过程挖掘

获取原文
获取原文并翻译 | 示例

摘要

Industries in general need a reliable system for fault identification and alarm management that operators take effective actions to minimize losses and re-establish the normal condition of the processes. A proposal on alarm rationalization is presented, according to the alarm lifecycle management model suggested by the ANSI/ISA-18 standard and based on a process mining technique. It is investigated the applicability of process mining technique for the identification of abnormal behaviors in order to improve an alarm system through its rationalization. Preliminaries results from simulation studies have demonstrated the feasibility of the present proposal. The results show that the use of the process mining technique can provide support on the alarms rationalization.
机译:工业界通常需要可靠的系统来进行故障识别和警报管理,以便操作员采取有效措施以最大程度地减少损失并重新建立正常的过程状态。根据ANSI / ISA-18标准提出的警报生命周期管理模型,并基于过程挖掘技术,提出了有关警报合理化的建议。研究了过程挖掘技术在识别异常行为方面的适用性,以通过合理化改进警报系统。仿真研究的初步结果证明了本建议的可行性。结果表明,使用过程挖掘技术可以为警报合理化提供支持。

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