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Science and Technology of Nuclear Installations - Volume 2015 2015, Article ID 193075, 13 pages -

Research Article

Mechanical Engineering College, No. 97, Heping West Road, Shijiazhuang, Hebei 050000, China

Shanxi Conservancy Technical College, Taiyuan, Shanxi 030000, China

Received 14 January 2015; Revised 1 March 2015; Accepted 16 March 2015

Academic Editor: Francesco Di Maio

Copyright © 2015 Ruifeng Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Nuclear power plants are highly complex systems and the issues related to their safety are of primary importance. Probabilistic safety assessment is regarded as the most widespread methodology for studying the safety of nuclear power plants. As maintenance is one of the most important factors for affecting the reliability and safety, an enhanced preventive maintenance optimization model based on a three-stage failure process is proposed. Preventive maintenance is still a dominant maintenance policy due to its easy implementation. In order to correspond to the three-color scheme commonly used in practice, the lifetime of system before failure is divided into three stages, namely, normal, minor defective, and severe defective stages. When the minor defective stage is identified, two measures are considered for comparison: one is that halving the inspection interval only when the minor defective stage is identified at the first time; the other one is that if only identifying the minor defective stage, the subsequent inspection interval is halved. Maintenance is implemented immediately once the severe defective stage is identified. Minimizing the expected cost per unit time is our objective function to optimize the inspection interval. Finally, a numerical example is presented to illustrate the effectiveness of the proposed models.

Author: Ruifeng Yang, Jianshe Kang, and Zhenya Quan



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