A fault prediction approach for process plants using fault tree analysis in sensor maiaolfunction

Zongxiao Yang, Xiaobo Yuan, Zhiqiang Feng, Kazuhiko Suzuki, Akira Inoue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

In this paper, a fault prediction approach for process plants using fault tree analysis is presented in the presence of no or false information of certain sensor. The fault propagation model is constructed by causal relationships from fault tree analysis (FTA). Knowledge about system failure, which is obtained from the fault propagation model, is represented as abnormality patterns in process variables and stored in the knowledge base. The prediction system can identify the cause of system malfunction considering no or false information of sensors by matching the pattern data from process plants with the abnormality pattern in the knowledge base. From unavailability of basic events and sensors, the estimated rates are provided for sequence checking in fault prediction. The proposed approach is applied successfully to a reactor control and protection system (RCPS).

Original languageEnglish
Title of host publication2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
Pages2415-2420
Number of pages6
DOIs
Publication statusPublished - Dec 1 2006
Event2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006 - Luoyang, China
Duration: Jun 25 2006Jun 28 2006

Publication series

Name2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
Volume2006

Other

Other2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
CountryChina
CityLuoyang
Period6/25/066/28/06

Keywords

  • Check sequence
  • Fault prediction
  • Fault tree analysis
  • Knowledge base
  • Sensor malfunction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Mechanical Engineering
  • Control and Systems Engineering

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  • Cite this

    Yang, Z., Yuan, X., Feng, Z., Suzuki, K., & Inoue, A. (2006). A fault prediction approach for process plants using fault tree analysis in sensor maiaolfunction. In 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006 (pp. 2415-2420). [4026478] (2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006; Vol. 2006). https://doi.org/10.1109/ICMA.2006.257729