What is it about?
System availability is defined as the ability to satisfy consumer demand. Based on the three-phase approach, a simulation procedure is used to evaluate the expected multi-state system availability and life cycle costs. Also, a multi-seed Tabu search heuristic algorithm with a proper neighborhood generation mechanism is proposed to solve the formulated problem. An application to the optimal design of a wind farm is provided to illustrate the proposed approach.
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Why is it important?
Different from existing approaches that consider binary or multi-state elements, our approach considers modular redundancy in which each module/subsystem is composed of several multi-state components in series. The status of each component is considered to degrade with use. Therefore, a new condition-based opportunistic maintenance approach using three different thresholds for a component health state is developed. The objective is to determine 1) the minimal-cost of k-out-of-n system structure, 2) optimal imperfect opportunistic maintenance strategy, 3) optimal maintenance capacity, and 4) optimal inspection interval subject to an availability constraint
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This page is a summary of: A Joint Reliability and Imperfect Opportunistic Maintenance Optimization for a Multi-State Weighted k-out-of-n System Considering Economic Dependence and Periodic Inspection, Quality and Reliability Engineering International, February 2017, Wiley,
DOI: 10.1002/qre.2136.
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