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Combining Different Intelligent Reasoning Techniques for Explaining Faults on Turbine Generators
Expert systems have been developed for the diagnosis of turbine generators, and are heuristic-based systems. The level of diagnostic explanations they provide to their end users is questionable. This paper presents and discusses the results of case- and model-based reasoning techniques for diagnosin...
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| Published in: | Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy Part A: Journal of Power and Energy, 1996-01, Vol.210 (4), p.253-261 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c425t-b6c9d914c804c71fe2ebb660428bf0c0b92c8dd51848d1eb0e14981e2cb688f13 |
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| cites | cdi_FETCH-LOGICAL-c425t-b6c9d914c804c71fe2ebb660428bf0c0b92c8dd51848d1eb0e14981e2cb688f13 |
| container_end_page | 261 |
| container_issue | 4 |
| container_start_page | 253 |
| container_title | Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy |
| container_volume | 210 |
| creator | Georgin, E McDonald, J R Ricard, B |
| description | Expert systems have been developed for the diagnosis of turbine generators, and are heuristic-based systems. The level of diagnostic explanations they provide to their end users is questionable. This paper presents and discusses the results of case- and model-based reasoning techniques for diagnosing and explaining faults of turbine generators. The techniques provide explanations that match user's expectations and reflect less ‘human expert rules’. This also led to the design of a new generation of smart systems which will explain and persuade better plant operators that their diagnosis was correct. |
| doi_str_mv | 10.1243/PIME_PROC_1996_210_044_02 |
| format | article |
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| fulltext | fulltext |
| identifier | ISSN: 0957-6509 |
| ispartof | Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 1996-01, Vol.210 (4), p.253-261 |
| issn | 0957-6509 2041-2967 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_745749159 |
| source | SAGE IMechE Complete Collection |
| subjects | Applied sciences Artificial intelligence Energy Energy. Thermal use of fuels Engines and turbines Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc Exact sciences and technology Expert systems Failure analysis Formal logic Heuristic methods Intelligent structures Machine vibrations Mathematical models |
| title | Combining Different Intelligent Reasoning Techniques for Explaining Faults on Turbine Generators |
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