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Link to original content: https://api.crossref.org/works/10.3390/S24144486
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T00:25:21Z","timestamp":1720743921362},"reference-count":69,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T00:00:00Z","timestamp":1720656000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Technologies of Information Technology Platform for Key Sensitive Components of Nuclear Power","award":["R-2022SZEM12TF"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"The health monitoring of CRF (circulation water) pumps is essential for prognostics and management in nuclear power plants. However, the operational status of CRF pumps can vary due to environmental factors and human intervention, and the interrelationships between monitoring parameters are often complex. Consequently, the existing methods face challenges in effectively assessing the health status of CRF pumps. In this study, we propose a health monitoring model for CRF pumps utilizing a meta graph transformer (MGT) observer. Initially, the meta graph transformer, a temporal\u2013spatial graph learning model, is employed to predict trends across the various monitoring parameters of the CRF pump. Subsequently, a fault observer is constructed to generate early warnings of potential faults. The proposed model was validated using real data from CRF pumps in a nuclear power plant. The results demonstrate that the average Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), and Root Mean Square Error (RMSE) of normal predictions were reduced to 1.2385, 0.5614, and 2.6554, respectively. These findings indicate that our model achieves higher prediction accuracy compared to the existing methods and can provide fault warnings at least one week in advance.<\/jats:p>","DOI":"10.3390\/s24144486","type":"journal-article","created":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T15:33:22Z","timestamp":1720712002000},"page":"4486","source":"Crossref","is-referenced-by-count":0,"title":["A Health Monitoring Model for Circulation Water Pumps in a Nuclear Power Plant Based on Graph Neural Network Observer"],"prefix":"10.3390","volume":"24","author":[{"given":"Jianyong","family":"Gao","sequence":"first","affiliation":[{"name":"National Engineering Research Center for Nuclear Power Plant Safety & Reliability, Suzhou 215004, China"},{"name":"Suzhou Nuclear Power Research Institute Co., Ltd., Suzhou 215004, China"}]},{"ORCID":"http:\/\/orcid.org\/0009-0000-1315-2554","authenticated-orcid":false,"given":"Liyi","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China"}]},{"given":"Chen","family":"Qing","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Nuclear Power Plant Safety & Reliability, Suzhou 215004, China"},{"name":"Suzhou Nuclear Power Research Institute Co., Ltd., Suzhou 215004, China"}]},{"given":"Tingdi","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Reliability and Systems Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3039-7582","authenticated-orcid":false,"given":"Zhipeng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China"}]},{"given":"Jie","family":"Geng","sequence":"additional","affiliation":[{"name":"School of Reliability and Systems Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China"}]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[{"name":"School of Reliability and Systems Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.nucengdes.2015.03.017","article-title":"Optimal number of circulating water pumps in a nuclear power plant","volume":"43","author":"Xia","year":"2015","journal-title":"Nucl. 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