Analysis of fault isolation assumptions when comparing model-based design approaches of diagnosis systems. Issue 21 (2015)

• Record Type: Journal Article
• Authors: Jung, Daniel; Khorasgani, Hamed; Frisk, Erik; Krysander, Mattias; Biswas, Gautam
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 21(2015)
• Page Start: 1289
• Page End: 1296
• Publication Date: 2015
• Subjects: Model-based diagnosis -- fault detection and isolation -- fault diagnosability analysis; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.09.703
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Most model-based diagnosis approaches reported in the literature adopt a generic architecture and approach. However, the fault hypotheses generated by these methods may differ. This is not only due to the methods, but also on the basic assumptions made by different diagnostic algorithms on fault manifestation and evolution. While comparing different diagnosis approaches, the assumptions made in each case will have a significant effect on fault diagnosability performance and must therefore also be taken into consideration. Thus, to make a fair comparison, the different approaches should be designed based on the same assumptions. This paper studies the relation between a set of commonly made assumptions and fault isolability performance in order to compare different diagnosis approaches. As a case study, five developed diagnosis systems for a wind turbine benchmark problem are evaluated to analyze the type of assumptions that are applied in the different designs.