Condition Monitoring of Sensors in a NPP Using Optimized PCA
Joint Authors
Peng, Minjun
Li, Wei
Liu, Yongkuo
Cheng, Shouyu
Jiang, Nan
Wang, Hang
Source
Science and Technology of Nuclear Installations
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-08
Country of Publication
Egypt
No. of Pages
16
Abstract EN
An optimized principal component analysis (PCA) framework is proposed to implement condition monitoring for sensors in a nuclear power plant (NPP) in this paper.
Compared with the common PCA method in previous research, the PCA method in this paper is optimized at different modeling procedures, including data preprocessing stage, modeling parameter selection stage, and fault detection and isolation stage.
Then, the model’s performance is greatly improved through these optimizations.
Finally, sensor measurements from a real NPP are used to train the optimized PCA model in order to guarantee the credibility and reliability of the simulation results.
Meanwhile, artificial faults are sequentially imposed to sensor measurements to estimate the fault detection and isolation ability of the proposed PCA model.
Simulation results show that the optimized PCA model is capable of detecting and isolating the sensors regardless of whether they exhibit major or small failures.
Meanwhile, the quantitative evaluation results also indicate that better performance can be obtained in the optimized PCA method compared with the common PCA method.
American Psychological Association (APA)
Li, Wei& Peng, Minjun& Liu, Yongkuo& Cheng, Shouyu& Jiang, Nan& Wang, Hang. 2018. Condition Monitoring of Sensors in a NPP Using Optimized PCA. Science and Technology of Nuclear Installations،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1214999
Modern Language Association (MLA)
Li, Wei…[et al.]. Condition Monitoring of Sensors in a NPP Using Optimized PCA. Science and Technology of Nuclear Installations No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1214999
American Medical Association (AMA)
Li, Wei& Peng, Minjun& Liu, Yongkuo& Cheng, Shouyu& Jiang, Nan& Wang, Hang. Condition Monitoring of Sensors in a NPP Using Optimized PCA. Science and Technology of Nuclear Installations. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1214999
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214999