Paper
25 April 2022 Research and application of system monitoring technology in nuclear power plants
Sheng Zhang, Zhongqing Yang, Shuanghan Ling, Lin Li
Author Affiliations +
Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 122442P (2022) https://doi.org/10.1117/12.2634879
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China
Abstract
System monitoring is a process to collect, evaluate and analyze various data related to system performance, so as to realize system performance monitoring, trend analysis and health evaluation. This paper researches system monitoring based on Maintenance Rule (MR) and Equipment Reliability Process Description (AP-913). This paper also introduces the background and concept of system monitoring; provides implementation process of system monitoring that is applicable to Chinese nuclear power plants; analyzes the key elements of system monitoring scheme development; takes monitoring program development of a typical system as an example to discuss the difficulties during development process; evaluates and summarizes application benefit of system monitoring scheme. Both international and domestic practice show that system monitoring for important systems in nuclear power plants can verify the effectiveness of current preventive maintenance strategies, ensuring that system equipment could satisfy its performance requirements under the designed condition. In addition, system monitoring could help prevent unplanned trip in nuclear power plants, improve availability and reliability of system equipment and provide technical support for sustainable improvement and long-term strategies of plants.
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Sheng Zhang, Zhongqing Yang, Shuanghan Ling, and Lin Li "Research and application of system monitoring technology in nuclear power plants", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 122442P (25 April 2022); https://doi.org/10.1117/12.2634879
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KEYWORDS
Reliability

Failure analysis

Analytical research

Data processing

Safety

Systems engineering

System identification

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