Overview of fault diagnosability evaluation methods for continuous Systems

Research output: Contribution to journalReview articlepeer-review

Abstract

Fault diagnosability is the fundamental for fault diagnosis. The knowledge of achievable diagnosability performance can provide the theoretical guidance for the development of diagnostic algorithms and the optimization of sensor placement. The concept and evaluation process of diagnosability are firstly introduced. Then existing fault diagnosability evaluation methods for the continuous systems are categorized into three types, i.e., methods based on the quantitative model, the qualitative model, and the statistical data. The characteristics of each method are summarized, and comparison of qualitative and quantitative evaluation is presented. Finally, several potential research tendencies are discussed.

Original languageEnglish
Pages (from-to)2113-2121
Number of pages9
JournalKongzhi yu Juece/Control and Decision
Volume31
Issue number12
DOIs
StatePublished - 1 Dec 2016

Keywords

  • Data driven
  • Fault diagnosability
  • Qualitative model
  • Quantitative evaluation
  • Quantitative model

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