Prognostic and Health Management of Active Assets in Nuclear Power Plants
This paper presents the development of diagnostic and prognostic capabilities for active assets in nuclear power plants (NPPs). The research was performed under the Advanced Instrumentation, Information, and Control Technologies Pathway of the Light Water Reactor Sustainability Program. Idaho Nation...
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| Format: | Article |
| Language: | English |
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The Prognostics and Health Management Society
2015-12-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | https://papers.phmsociety.org/index.php/ijphm/article/view/2270 |
| _version_ | 1819027401244409856 |
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| author | Vivek Agarwal Nancy Lybeck Binh T. Pham Richard Rusaw Randall Bickford |
| author_facet | Vivek Agarwal Nancy Lybeck Binh T. Pham Richard Rusaw Randall Bickford |
| author_sort | Vivek Agarwal |
| collection | DOAJ |
| description | This paper presents the development of diagnostic and prognostic capabilities for active assets in nuclear power plants (NPPs). The research was performed under the Advanced Instrumentation, Information, and Control Technologies Pathway of the Light Water Reactor Sustainability Program. Idaho National Laboratory researched, developed, implemented, and demonstrated diagnostic and prognostic models for generator step-up transformers (GSUs). The Fleet-Wide Prognostic and Health Management (FW-PHM) Suite software developed by the Electric Power Research Institute was used to perform diagnosis and prognosis. As part of the research activity, Idaho National Laboratory implemented 22 GSU diagnostic models in the Asset Fault Signature Database and two wellestablished GSU prognostic models for the paper winding insulation in the Remaining Useful Life Database of the FW-PHM Suite. The implemented models along with a simulated fault data stream were used to evaluate the diagnostic and prognostic capabilities of the FW-PHM Suite. Knowledge of the operating condition of plant asset gained from diagnosis and prognosis is critical for the safe, productive, and economical long-term operation of the current fleet of NPPs. This research addresses some of the gaps in the current state of technology development and enables effective application of diagnostics and prognostics to nuclear plant assets. |
| first_indexed | 2024-12-21T05:41:53Z |
| format | Article |
| id | doaj.art-9f7738954f1548219881d6aa906ba49a |
| institution | Directory Open Access Journal |
| issn | 2153-2648 2153-2648 |
| language | English |
| last_indexed | 2024-12-21T05:41:53Z |
| publishDate | 2015-12-01 |
| publisher | The Prognostics and Health Management Society |
| record_format | Article |
| series | International Journal of Prognostics and Health Management |
| spelling | doaj.art-9f7738954f1548219881d6aa906ba49a2022-12-21T19:14:14ZengThe Prognostics and Health Management SocietyInternational Journal of Prognostics and Health Management2153-26482153-26482015-12-0163doi:10.36001/ijphm.2015.v6i3.2270Prognostic and Health Management of Active Assets in Nuclear Power PlantsVivek Agarwal0Nancy Lybeck1Binh T. Pham2Richard Rusaw3Randall Bickford4Idaho National Laboratory, Idaho Falls, ID, 83415, USAIdaho National Laboratory, Idaho Falls, ID, 83415, USAIdaho National Laboratory, Idaho Falls, ID, 83415, USAElectric Power Research Institute, Charlotte, NC, 28262, USAExpert Microsystems, Orangevale, CA, 95662, USAThis paper presents the development of diagnostic and prognostic capabilities for active assets in nuclear power plants (NPPs). The research was performed under the Advanced Instrumentation, Information, and Control Technologies Pathway of the Light Water Reactor Sustainability Program. Idaho National Laboratory researched, developed, implemented, and demonstrated diagnostic and prognostic models for generator step-up transformers (GSUs). The Fleet-Wide Prognostic and Health Management (FW-PHM) Suite software developed by the Electric Power Research Institute was used to perform diagnosis and prognosis. As part of the research activity, Idaho National Laboratory implemented 22 GSU diagnostic models in the Asset Fault Signature Database and two wellestablished GSU prognostic models for the paper winding insulation in the Remaining Useful Life Database of the FW-PHM Suite. The implemented models along with a simulated fault data stream were used to evaluate the diagnostic and prognostic capabilities of the FW-PHM Suite. Knowledge of the operating condition of plant asset gained from diagnosis and prognosis is critical for the safe, productive, and economical long-term operation of the current fleet of NPPs. This research addresses some of the gaps in the current state of technology development and enables effective application of diagnostics and prognostics to nuclear plant assets.https://papers.phmsociety.org/index.php/ijphm/article/view/2270prognosticsautomatic diagnosticsgenerator step-up transformersfleet wide monitoring |
| spellingShingle | Vivek Agarwal Nancy Lybeck Binh T. Pham Richard Rusaw Randall Bickford Prognostic and Health Management of Active Assets in Nuclear Power Plants International Journal of Prognostics and Health Management prognostics automatic diagnostics generator step-up transformers fleet wide monitoring |
| title | Prognostic and Health Management of Active Assets in Nuclear Power Plants |
| title_full | Prognostic and Health Management of Active Assets in Nuclear Power Plants |
| title_fullStr | Prognostic and Health Management of Active Assets in Nuclear Power Plants |
| title_full_unstemmed | Prognostic and Health Management of Active Assets in Nuclear Power Plants |
| title_short | Prognostic and Health Management of Active Assets in Nuclear Power Plants |
| title_sort | prognostic and health management of active assets in nuclear power plants |
| topic | prognostics automatic diagnostics generator step-up transformers fleet wide monitoring |
| url | https://papers.phmsociety.org/index.php/ijphm/article/view/2270 |
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