Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells
© 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 st...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | English |
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ELSEVIER SCI LTD
2019
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| Subjects: | |
| Online Access: | http://purl.org/au-research/grants/arc/DP150104365 http://hdl.handle.net/20.500.11937/79346 |
| _version_ | 1848764033621032960 |
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| author | Periasamy, Vijay Tade, Moses Shao, Zongping |
| author_facet | Periasamy, Vijay Tade, Moses Shao, Zongping |
| author_sort | Periasamy, Vijay |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 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. |
| first_indexed | 2025-11-14T11:12:55Z |
| format | Journal Article |
| id | curtin-20.500.11937-79346 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:12:55Z |
| publishDate | 2019 |
| publisher | ELSEVIER SCI LTD |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-793462023-06-06T07:02:40Z Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells Periasamy, Vijay Tade, Moses Shao, Zongping Science & Technology Technology Automation & Control Systems Engineering, Chemical Engineering Solid oxide fuel cell Fault diagnosis Adaptive observers Nonlinear observers MODEL © 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. 2019 Journal Article http://hdl.handle.net/20.500.11937/79346 10.1016/j.jprocont.2019.09.010 English http://purl.org/au-research/grants/arc/DP150104365 ELSEVIER SCI LTD restricted |
| spellingShingle | Science & Technology Technology Automation & Control Systems Engineering, Chemical Engineering Solid oxide fuel cell Fault diagnosis Adaptive observers Nonlinear observers MODEL Periasamy, Vijay Tade, Moses Shao, Zongping Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells |
| title | Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells |
| title_full | Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells |
| title_fullStr | Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells |
| title_full_unstemmed | Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells |
| title_short | Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells |
| title_sort | adaptive observer based approach for the fault diagnosis in solid oxide fuel cells |
| topic | Science & Technology Technology Automation & Control Systems Engineering, Chemical Engineering Solid oxide fuel cell Fault diagnosis Adaptive observers Nonlinear observers MODEL |
| url | http://purl.org/au-research/grants/arc/DP150104365 http://hdl.handle.net/20.500.11937/79346 |