基于信息熵的故障隔离模型

Fault Isolation Model Based on the Entropy

故障隔离过程即为熵递减的过程。从间接熵的概念出发,提出了基于信息熵的故障隔离模型,该模型考虑了可传递的故障模式和不可传递的故障模式对系统状态的影响,给出四类信息熵计算公式。从快速维修的角度,在测点优选策略中综合考虑了信息熵数量和故障率因素,从而能保证诊断树中测点分支数量少的同时,优先检测故障率较高的设备。最后通过一个典型案例应用,证明了该模型的可行性。

The fault isolation process is the process of entropy descending. The fault isolation model based on the entropy is proposed with the in-direct entropy concept. The effects on the system states that the transmissible and un-transmissible faults caused are considered, four kinds of entropy computation formula are discussed. From the aspect of rapid maintenance, the entropy numbers and fault rate are con- sidered in the test point optimization. Therefore, the test point will be selected priority with less branches and high fault rate. Finally, the feasibility of this model is proved by a typical case.