Data-Driven Optimization and Validation of Airtightness Test Duration for Hydrogen-Cooled Generators in Nuclear Power Plants

The sealing reliability of hydrogen-cooled generator systems in nuclear power plants is directly related to unit safety and outage critical-path optimization. Conventional airtightness pressure-holding tests usually use the 24 h leakage result as the acceptance criterion, but this occupies a long maintenance window. Early pressure and temperature signals are affected by thermal equilibration, environmental disturbances, and gas–oil coupling, making direct early assessment difficult. Based on historical pressure-holding test data from multiple nuclear power plants, this study develops a short-duration auxiliary assessment method. Test records from different plants are converted into a unified equivalent leakage rate, and a standardized dataset is established. A multi-branch framework is then developed, including leakage-trend prediction, local fluctuation identification, and feature-space validation. A conservative review strategy is introduced to support safety-oriented field decision making. The validation results show that the first 12 h monitoring data can support assessment of the 24 h leakage state. No false negatives were observed within the limited validation set. Samples with inconsistent outputs, near-threshold predictions, or abnormal feature-space locations are recommended for extended pressure holding and further review.

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Publication Details

Journal
Journal of Nuclear Engineering
Published
2026-06-29
DOI
https://doi.org/10.3390/jne7030044
Primary Topic
Nuclear Engineering Thermal-Hydraulics
Type
article
Field-Weighted Citation Impact
0.00

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article

Data-Driven Optimization and Validation of Airtightness Test Duration for Hydrogen-Cooled Generators in Nuclear Power Plants

Z Zhang, Tianhong Jing, Yixiong Feng, Xin Guo et al.
Journal of Nuclear Engineering
Nuclear Engineering Thermal-Hydraulics
article

Data-Driven Optimization and Validation of Airtightness Test Duration for Hydrogen-Cooled Generators in Nuclear Power Plants

Z Zhang, Tianhong Jing, Yixiong Feng, Xin Guo, Shunyi Gao, Xiuju Song, Wufeng Huang, Xiangyi Zhu, Kaili Jia, Junjie Song
article en

Abstract

The sealing reliability of hydrogen-cooled generator systems in nuclear power plants is directly related to unit safety and outage critical-path optimization. Conventional airtightness pressure-holding tests usually use the 24 h leakage result as the acceptance criterion, but this occupies a long maintenance window. Early pressure and temperature signals are affected by thermal equilibration, environmental disturbances, and gas–oil coupling, making direct early assessment difficult. Based on historical pressure-holding test data from multiple nuclear power plants, this study develops a short-duration auxiliary assessment method. Test records from different plants are converted into a unified equivalent leakage rate, and a standardized dataset is established. A multi-branch framework is then developed, including leakage-trend prediction, local fluctuation identification, and feature-space validation. A conservative review strategy is introduced to support safety-oriented field decision making. The validation results show that the first 12 h monitoring data can support assessment of the 24 h leakage state. No false negatives were observed within the limited validation set. Samples with inconsistent outputs, near-threshold predictions, or abnormal feature-space locations are recommended for extended pressure holding and further review.

Journal of Nuclear EngineeringVol. 7(3)
Guizhou University (CN), China General Nuclear Power Corporation (China) (CN), Zhejiang University (CN)
Zhejiang University, Key Research and Development Program of Zhejiang Province
Openalex Percentile: Top 3%
Nuclear Engineering Thermal-Hydraulics
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Data-Driven Optimization and Validation of Airtightness Test Duration for Hydrogen-Cooled Generators in Nuclear Power Plants — Z Zhang, Tianhong Jing, et al. · Journal of Nuclear Engineering (2026) | TGRS Research Map | TGRS