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Title: Prognostic and health management of active assets in nuclear power plants

Journal Article · · International Journal of Prognostics and Health Management
OSTI ID:1244696
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  1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
  2. Electric Power Research Inst., Charlotte, NC (United States)
  3. Expert Microsystems, Orangevale, CA (United States)

This study 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.

Research Organization:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Organization:
USDOE Office of Nuclear Energy (NE)
Grant/Contract Number:
AC07-05ID14517
OSTI ID:
1244696
Report Number(s):
INL/JOU-15-34317
Journal Information:
International Journal of Prognostics and Health Management, Vol. 6, Issue Special; ISSN 2153-2648
Publisher:
Prognostics and Health Management SocietyCopyright Statement
Country of Publication:
United States
Language:
English