NDLI: An Enhanced Preventive Maintenance Optimization Model Based on a Three-Stage Failure Process

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An Enhanced Preventive Maintenance Optimization Model Based on a Three-Stage Failure Process

Content Provider	Semantic Scholar
Author	Yang, Ruifeng Kang, Jianshe Quan, Zhenya
Copyright Year	2015
Abstract	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 themost important factors for affecting the reliability and safety, an enhanced preventivemaintenance optimizationmodel 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 systembefore failure is divided into three stages, namely, normal, minor defective, and severe defective stages.When theminor 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.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://downloads.hindawi.com/journals/stni/2015/193075.pdf
Language	English
Access Restriction	Open
Subject Keyword	Complex systems Defective by Design Division by two Heart failure Laser Therapy, Low-Level Liver Failure, Acute Loss function Nuclear Power Plants Numerical analysis Optimization problem Program optimization Stage Is
Content Type	Text
Resource Type	Article

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