TY - GEN
T1 - Multi Performance Reliability Analysis Method of Safety Valves Based on Mixed Weighted Regression
AU - Fan, Xiaoduo
AU - Zhang, Jianguo
AU - Zhang, Yixiang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Safety valves exhibit the characteristics of diverse mechanical properties and uncertain multi-source parameters, which create challenges to their design and application. In order to research reliability under multi-source and multi-performance parameters, a system dynamics simulation model is established for deterministic analysis with the gas path safety valve as the research object, thus a new reliability analysis method is proposed. A typical performance reliability analysis model is established considering the randomness of the basic parameters of the safety valve, taking into account the outlet pressure and flow rate. To improve the calculation efficiency, the weight of the sample points is considered and a surrogate model is constructed. Combining with the importance sampling method to predict the failure probability, the weighted importance sampling method is used to calculate the reliability of safety valves under multiple performance indicators, reflecting the contribution of each failure mode to the failure probability of safety valves. The feasibility of the proposed method was verified through numerical examples and engineering cases, providing support and tools for the refined design of safety valves.
AB - Safety valves exhibit the characteristics of diverse mechanical properties and uncertain multi-source parameters, which create challenges to their design and application. In order to research reliability under multi-source and multi-performance parameters, a system dynamics simulation model is established for deterministic analysis with the gas path safety valve as the research object, thus a new reliability analysis method is proposed. A typical performance reliability analysis model is established considering the randomness of the basic parameters of the safety valve, taking into account the outlet pressure and flow rate. To improve the calculation efficiency, the weight of the sample points is considered and a surrogate model is constructed. Combining with the importance sampling method to predict the failure probability, the weighted importance sampling method is used to calculate the reliability of safety valves under multiple performance indicators, reflecting the contribution of each failure mode to the failure probability of safety valves. The feasibility of the proposed method was verified through numerical examples and engineering cases, providing support and tools for the refined design of safety valves.
KW - performance reliability
KW - Safety valves
KW - sample weights
KW - weighted importance sampling
UR - https://www.scopus.com/pages/publications/85181763298
U2 - 10.1109/SRSE59585.2023.10336144
DO - 10.1109/SRSE59585.2023.10336144
M3 - 会议稿件
AN - SCOPUS:85181763298
T3 - 2023 5th International Conference on System Reliability and Safety Engineering, SRSE 2023
SP - 57
EP - 62
BT - 2023 5th International Conference on System Reliability and Safety Engineering, SRSE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on System Reliability and Safety Engineering, SRSE 2023
Y2 - 20 October 2023 through 23 October 2023
ER -