scholarly journals APPLICATION OF MONITORING, DIAGNOSIS, AND PROGNOSIS IN THERMAL PERFORMANCE ANALYSIS FOR NUCLEAR POWER PLANTS

2014 ◽  
Vol 46 (6) ◽  
pp. 737-752 ◽  
Author(s):  
HYEONMIN KIM ◽  
MAN GYUN NA ◽  
GYUNYOUNG HEO
Keyword(s):  
Performance Analysis ◽  
Thermal Performance ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Diagnosis And Prognosis

scholarly journals Prognostic and Health Management of Active Assets in Nuclear Power Plants

2020 ◽  
Vol 6 (3) ◽  
Author(s):  
Vivek Agarwal ◽  
Nancy Lybeck ◽  
Binh T. Pham ◽  
Richard Rusaw ◽  
Randall Bickford
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Health Management ◽  
National Laboratory ◽  
Remaining Useful Life ◽  
Prognostic Models ◽  
Idaho National Laboratory ◽  
Diagnosis And Prognosis ◽  
Prognostic And Health Management

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.

scholarly journals Data pre-processing methods for NPP equipment diagnostics algorithms: an overview

2021 ◽  
Vol 7 (2) ◽  
pp. 111-125
Author(s):  
Iurii D. Katser ◽  
Vyacheslav O. Kozitsin ◽  
Ivan V. Maksimov ◽  
Denis A. Larionov ◽  
Konstantin I. Kotsoev
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Diagnostic Features ◽  
Processing Methods ◽  
Efficient Operation ◽  
Advantages And Disadvantages ◽  
Diagnosis And Prognosis ◽  
Processing Techniques ◽  
Source Signals

The main tasks of diagnostics at nuclear power plants are detection, localization, diagnosis, and prognosis of the development of malfunctions. Analytical algorithms of varying degrees of complexity are used to solve these tasks. Many of these algorithms require pre-processed input data for high-quality and efficient operation. The pre-processing stage can help to reduce the volume of the analyzed data, generate additional informative diagnostic features, find complex dependencies and hidden patterns, discard uninformative source signals and remove noise. Finally, it can produce an improvement in detection, localization and prognosis quality. This overview briefly describes the data collected at nuclear power plants and provides methods for their preliminary processing. The pre-processing techniques are systematized according to the tasks performed. Their advantages and disadvantages are presented and the requirements for the initial raw data are considered. The references include both fundamental scientific works and applied industrial research on the methods applied. The paper also indicates the mechanisms for applying the methods of signal pre-processing in real-time. The overview of the data pre-processing methods in application to nuclear power plants is obtained, their classification and characteristics are given, and the comparative analysis of the methods is presented.

Work structure in nuclear power plants

1983 ◽  
Author(s):  
Marjorie B. Bauman ◽  
Richard F. Pain ◽  
Harold P. Van Cott ◽  
Margery K. Davidson
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Work Structure

Life Extension of Nuclear Power Plants: World Situation and the USA Case

2010 ◽  
pp. 50-56 ◽  
Author(s):  
Pablo T. León ◽  
Loreto Cuesta ◽  
Eduardo Serra ◽  
Luis Yagüe
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Life Extension ◽  
The Usa
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