Reliability modeling of field calibration data for pressure transmitters in nuclear power plants
Year: 2025
Type: article
Abstract: To ensure the safe and reliable operation of nuclear power plants, continuous monitoring of key process parameters using transmitters is essential. Accordingly, evaluating the reliability of these instruments is critical for maintaining long-term performance and safety. This study presents a nonlinear Wiener process-based method for reliability analysis and prediction of pressure transmitters in nuclear environments. The approach begins by extracting the maximum absolute error from field calibration data as a degradation indicator. A Wiener process model is then developed to capture the inverse S-shaped degradation trend observed under nuclear conditions. Subsequently, the reliability prediction is achieved based on the first passage time (FPT) theory. A case study based on actual plant data shows that the reliability remains above 99.9943 % even when the calibration interval is extended to 24 months, thereby providing quantitative support for interval extension.
Authors: Bingyue Liu, Shengwu Cai, Hua Su, Zhen Qiao, Can Wei, Xinwen Zhao, Jiahang Jiang, Meng Jiao, Feng Qin, Meiping He
Institution: Naval University of Engineering
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $200
OpenAlex ID: W4413490095