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dc.contributor.authorPeriasamy, Vijay
dc.contributor.authorTade, Moses
dc.contributor.authorShao, Zongping
dc.date.accessioned2020-05-20T06:53:36Z
dc.date.available2020-05-20T06:53:36Z
dc.date.issued2019
dc.identifier.citationVijay, P. and Tadé, M.O. and Shao, Z. 2019. Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells. Journal of Process Control. 84: pp. 101-114.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/79346
dc.identifier.doi10.1016/j.jprocont.2019.09.010
dc.description.abstract

© 2019 Elesevier

Monitoring and fault diagnosis can play a major role in improving the reliability of Solid Oxide Fuel Cell (SOFC) systems. Due to complex interactions between the variables, quantitative model based methods are suitable for SOFC fault diagnosis. In this work, a fault diagnosis strategy based on a non-linear observer based approach is proposed for the SOFC. Two nonlinear adaptive observers are designed based on the concepts of input-to-state stability of cascaded systems, each sensitive to different faults affecting the SOFC. Simultaneous application of these two observers allows the unique identification and diagnosis of all the common faults in the SOFC. This unique approach of multiple nonlinear adaptive observers for SOFC fault diagnosis can improve fault resolution and has applicability over wide operating ranges.

dc.languageEnglish
dc.publisherELSEVIER SCI LTD
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectAutomation & Control Systems
dc.subjectEngineering, Chemical
dc.subjectEngineering
dc.subjectSolid oxide fuel cell
dc.subjectFault diagnosis
dc.subjectAdaptive observers
dc.subjectNonlinear observers
dc.subjectMODEL
dc.titleAdaptive observer based approach for the fault diagnosis in solid oxide fuel cells
dc.typeJournal Article
dcterms.source.volume84
dcterms.source.startPage101
dcterms.source.endPage114
dcterms.source.issn0959-1524
dcterms.source.titleJournal of Process Control
dc.date.updated2020-05-20T06:53:35Z
curtin.departmentWASM: Minerals, Energy and Chemical Engineering
curtin.accessStatusFulltext not available
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidPeriasamy, Vijay [0000-0001-7455-3415]
curtin.contributor.orcidTade, Moses [0000-0001-6378-3274]
curtin.contributor.orcidShao, Zongping [0000-0002-4538-4218]
curtin.contributor.researcheridShao, Zongping [B-5250-2013]
dcterms.source.eissn1873-2771
curtin.contributor.scopusauthoridPeriasamy, Vijay [16231540400] [57194223304]
curtin.contributor.scopusauthoridTade, Moses [7006873594]
curtin.contributor.scopusauthoridShao, Zongping [55904502000] [57200900274]


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