Prognostic and Health Management of Active Assets in Nuclear Power Plants

Vivek Agarwal, Nancy J. Lybeck, Binh T. Pham, Richard Rusaw, and Randall Bickford
Publication Target: 
Publication Issue: 
Special Issue Nuclear Energy PHM
Submission Type: 
Full Paper
Supporting Agencies (optional): 
U.S. Department of Energy
ijphm_15_013.pdf3.55 MBJune 4, 2015 - 3:02pm

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 well-established 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.

Publication Year: 
Publication Volume: 
Publication Control Number: 
Page Count: 
Submission Keywords: 
Fleet Wide Monitoring
Automatic diagnostics
Generator Step-Up Transformers
Submission Topic Areas: 
Component-level PHM
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