Degradation of systems and components operating in harsh environment has an adverse effect on safety and reliability of nuclear power plants. Condition-based maintenance (CBM) programs are used to preventively maintain degrading components, which minimize the risk of failure. However, maintenance programs can be costly due to frequent inspection, increased outage time, and redundant maintenance of functional components. The optimization of maintenance programs over the life cycle of systems is an important issue for the plant managers. The paper presents an advanced model for the evaluation of life cycle cost of degrading components in the nuclear plants, which can be used for the maintenance optimization. The proposed model is based on the more precise finite time horizon formulation, instead of using asymptotic formulae that may lead to inaccurate results in practical settings.
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18th International Conference on Nuclear Engineering
May 17–21, 2010
Xi’an, China
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
978-0-7918-4933-0
PROCEEDINGS PAPER
An Accurate Probabilistic Model for Estimating the Life Cycle Cost of Degrading Components in Nuclear Power Plants
T. Cheng,
T. Cheng
University of Waterloo, Waterloo, ON, Canada
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M. D. Pandey,
M. D. Pandey
University of Waterloo, Waterloo, ON, Canada
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W. C. Xie
W. C. Xie
University of Waterloo, Waterloo, ON, Canada
Search for other works by this author on:
T. Cheng
University of Waterloo, Waterloo, ON, Canada
M. D. Pandey
University of Waterloo, Waterloo, ON, Canada
W. C. Xie
University of Waterloo, Waterloo, ON, Canada
Paper No:
ICONE18-30130, pp. 299-308; 10 pages
Published Online:
April 8, 2011
Citation
Cheng, T, Pandey, MD, & Xie, WC. "An Accurate Probabilistic Model for Estimating the Life Cycle Cost of Degrading Components in Nuclear Power Plants." Proceedings of the 18th International Conference on Nuclear Engineering. 18th International Conference on Nuclear Engineering: Volume 5. Xi’an, China. May 17–21, 2010. pp. 299-308. ASME. https://doi.org/10.1115/ICONE18-30130
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