Dynamic reliability evaluation of wind turbine pitch system based on DBN
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.
国家科技期刊平台
NSTL
万方数据
维普
