Skip to main navigation Skip to search Skip to main content

Overall fault diagnosability evaluation for dynamic systems: A quantitative–qualitative approach

  • Fangzhou Fu
  • , Dayi Wang*
  • , Wenbo Li
  • , Dong Zhao
  • , Zhigang Wu
  • *Corresponding author for this work
  • Sun Yat-Sen University
  • Key Laboratory of Precision Opto-Mechatronics Technology (Ministry of Education)
  • China Aerospace Science and Technology Corporation
  • CAS - Beijing Institute of Control Engineering

Research output: Contribution to journalArticlepeer-review

Abstract

The issue of overall fault diagnosability evaluation is addressed to provide a standard for system design from the fault diagnosis perspective. An overall fault diagnosability measure is first defined statistically by combining quantitative and qualitative evaluation results. On this basis, a randomized algorithm-based method is developed for estimating this quantitative–qualitative measure with a preset accuracy. Then, a tractable method for computing the lower bound of the measure is created, which provides a way to assess fault diagnosis performance without a large computational burden. Finally, a spacecraft attitude control system is used to verify the effectiveness of the proposed methods.

Original languageEnglish
Article number110591
JournalAutomatica
Volume146
DOIs
StatePublished - Dec 2022

Keywords

  • Dynamic systems
  • Fault diagnosability
  • Kullback–Leibler divergence
  • Overall evaluation

Fingerprint

Dive into the research topics of 'Overall fault diagnosability evaluation for dynamic systems: A quantitative–qualitative approach'. Together they form a unique fingerprint.

Cite this