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A new fault identification method based on combined reconstruction contribution plot and structured residual

  • Bo Chen
  • , Kesheng Wang
  • , Xiue Gao
  • , Yi Wang
  • , Shifeng Chen
  • , Tianshu Zhang
  • , Kristian Martinsen
  • , Tamal Ghosh

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The existing contribution plot-based reconstruction fault identification methods suffer from low identification accuracy and serious trailing effect. In this paper, a new fault identification method is proposed based on a combination of reconstruction contribution plot and structured residual method. The fault direction vector is calculated by utilizing the structured residual method. The reconstruction contribution plot utilizes the obtained fault direction vector to accurately localize the fault variable, where the fault source can be accurately localized subsequently. The experimental results show that, compared with the traditional PCA and PPCA (PCA based on probability) reconstruction contribution method, this algorithm can accurately identify the fault variables, and reduce the influence of the fault variables on the non-fault variables.

Original languageEnglish
Title of host publicationAdvanced Manufacturing and Automation IX
Subtitle of host publicationConference proceedings
EditorsYi Wang, Kristian Martinsen, Tao Yu, Kesheng Wang
PublisherSpringer
Pages283-291
ISBN (Electronic)9789811523410
ISBN (Print)9789811523403, 9789811523434
DOIs
Publication statusPublished - 3 Jan 2020

Publication series

NameAdvanced Manufacturing and Automation IX
Volume634
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

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