首页> 外文会议>International Conference on Control, Automation and Diagnosis >Fault detection localization and reconstruction in nonlinear system using RKPCA method and RBC
【24h】

Fault detection localization and reconstruction in nonlinear system using RKPCA method and RBC

机译:使用RKPCA方法和RBC的非线性系统故障检测定位与重建

获取原文

摘要

In this paper we exploit the use of the proposed RKPCA method ([1], [2], [3]) for sensor fault detection, localisation and reconstruction. To this end, a set of structured residues is generated by using partial RKPCA technique. Also to identify fault, the Reconstruction Based Contribution RBC approach [4] was used. The relevance of the evaluated techniques partial RKPCA and RBC is revealed on Continuous Stirred Tank Reactor (CSTR).
机译:在本文中,我们利用所提出的RKPCA方法([1],[2],[3])进行传感器故障检测,本地化和重建。为此,通过使用部分RKPCA技术产生一组结构化残基。另外要识别故障,使用了基于重建的贡献RBC方法[4]。在连续搅拌釜反应器(CSTR)上揭示了评估技术部分RKPCA和RBC的相关性。

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