可再生能源2024，Vol.42Issue(4)：486-492,7.
基于DBN的风电机组变桨系统可靠性动态评估
Dynamic reliability evaluation of wind turbine pitch system based on DBN
摘要
Abstract
In order to make reliable dynamic prediction of the potential risk of pitch system,aiming at the problems of multiple components,complex system and difficult fault feature extraction of pitch system,the fault tree is established through the induction and analysis of its fault point and fault transmission process,and then it is transformed into a dynamic Bayesian network(DBN)integrating Leaky Noisy-or nodes,which ensures the accuracy of the model and has the dynamic prediction ability.The model is optimized and verified by using a 5-fold cross-validation method.The test results show that this method has high accuracy in risk prediction,fault cause analysis and risk dynamic evolution process analysis of pitch system,and has engineering application value in guiding the preventive maintenance of pitch system and ensuring the overall safety of wind turbine.关键词
变桨系统/动态贝叶斯网络/交叉验证/可靠性评估Key words
pitch system/dynamic Bayesian network/cross validation/reliability evaluation分类
能源与动力引用本文复制引用
冯红岩,朱海娜,邱美艳,冯玉龙..基于DBN的风电机组变桨系统可靠性动态评估[J].可再生能源,2024,42(4):486-492,7.基金项目
天津市科技计划项目技术创新引导专项优秀特派员项目(20YDTPJC01850). （20YDTPJC01850）
