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Joint Feature and Model Selection for SVM Fault Diagnosis in Solid Oxide Fuel Cell Systems
Joint Authors
Moser, Gabriele
Costamagna, Paola
De Giorgi, Andrea
Greco, Andrea
Magistri, Loredana
Pellaco, Lissy
Trucco, Andrea
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper describes an original technique for the joint feature and model selection in the context of support vector machine (SVM) classification applied as a diagnosis strategy in model-based fault detection and isolation (FDI).
We demonstrate that the proposed technique contributes to the solution of an open research problem: to design a robust FDI procedure, correctly functioning with different operating conditions and fault sizes, specifically settled for an electric generation system based on solid oxide fuel cells (SOFCs).
By using a quantitative model of the generation system coupled to an optimized SVM classifier, a satisfactory FDI procedure is achieved, which is robust against modeling and measurement errors and is compliant with practical deployment.
American Psychological Association (APA)
Moser, Gabriele& Costamagna, Paola& De Giorgi, Andrea& Greco, Andrea& Magistri, Loredana& Pellaco, Lissy…[et al.]. 2015. Joint Feature and Model Selection for SVM Fault Diagnosis in Solid Oxide Fuel Cell Systems. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073405
Modern Language Association (MLA)
Moser, Gabriele…[et al.]. Joint Feature and Model Selection for SVM Fault Diagnosis in Solid Oxide Fuel Cell Systems. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1073405
American Medical Association (AMA)
Moser, Gabriele& Costamagna, Paola& De Giorgi, Andrea& Greco, Andrea& Magistri, Loredana& Pellaco, Lissy…[et al.]. Joint Feature and Model Selection for SVM Fault Diagnosis in Solid Oxide Fuel Cell Systems. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073405
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073405