Health diagnosis of nuclear power plant. (15th October 2019)

• Record Type: Journal Article
• Authors: Xue, Wangyu; Li, Xiu; Huang, Biqing
• Is Part Of: International journal of advanced robotic systems. Volume 16:Number 5(2019:Sep./Oct.)
• Publication Date: 2019-10-15
• Subjects: Nuclear power plant -- AHP -- fuzzy comprehensive evaluation method -- partial failure -- health status diagnosis; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.1177/1729881419880654
• Languages: English
• ISSNs: 1729-8806

Abstract

At present, nuclear power plant is developing rapidly, and its application has been involved in many aspects including life, military, industry and many other important fields, bringing benefits to people's life. However, the nuclear power plant has a relatively special structure. Once a safety accident occurs, the consequences will be unimaginable, and the cost of its operation and maintenance will be relatively high. Therefore, how to effectively diagnose the health status of the nuclear power plant is an urgent problem to be solved. On the above-mentioned research background, we need to study nuclear power plant health diagnosis method. Considering the characteristic of the nuclear power plant system and special failure mode, both the safety and economy, a health condition diagnosis method based on analytic hierarchy process and fuzzy comprehensive evaluation method is proposed for the structural characteristics and functional characteristics of nuclear power plants. According to the special failure mode and complex system structure of nuclear power plant, the evaluation index system based on failure mode is constructed by laying the system using the hierarchical analysis method, and the system is scored by fuzzy comprehensive evaluation method. The health status makes a coarse-grained diagnosis and provides a reference for the development of the operation and maintenance strategy.