于华楠,仇华华,王鹤,李石强,韦搏.基于改进半张量积贝叶斯网络的直流配电网故障诊断[J].电测与仪表,2025,62(6):178-185. YU Huanan,QIU Huahua,WANG He,LI Shiqiang,WEI Bo.Fault diagnosis of DC distribution network based on improved matrix half-tensor product Bayesian network[J].Electrical Measurement & Instrumentation,2025,62(6):178-185.
基于改进半张量积贝叶斯网络的直流配电网故障诊断
Fault diagnosis of DC distribution network based on improved matrix half-tensor product Bayesian network
This paper proposes a fault diagnosis algorithm for DC distribution network based on improved half-tensor product Bayesian networks. The Bayesian network method based on half-tensor product is improved by introducing the protection and circuit breaker action moment confidence and action state confidence, which improves the fault diagnosis accuracy and enables to correct the calculation results even when the conditional probability is inaccurate. Considering the deep integration of protection and control in DC distribution network, the control quantity reflecting the change of control state and the protection quantity reflecting the protection action are integrated into the half-tensor product Bayesian network, which makes the fault diagnosis results more accurate. The correctness and reliability of the proposed diagnosis method are verified through the analysis of arithmetic cases.
