基于最大故障信息量二元树的模拟电路诊断法

本文提出一种模拟电路故障诊断法。利用二元树的信息传递性实现模拟电路的故障定位，寻找系统Y在N个故障状态X下的最大故障信息量J0，采用序贯法一直寻找不同故障条件下子系统特征xj的最大信息量Ji，最终找到一个故障特征群R；构造系统最大故障信息二元树，从故障特征群中快速定位故障点，实现模拟电路故障的有效诊断。最后给出一个诊断实例验证了该方法。

Fault diagnosis method of analog circuit based on binary tree with maximum fault information volume

A fault diagnosis method of analog circuit is presented.Binary tree was adopted for fault diagnosis in analog circuit by virtue of its information transfer characteristic.The proposed method is as follows:seeking for maximum fault information volume J_0 of system under fault state X condition;seeking for maximum information volume J_i of feature x_i in subsystem under different fault condition by sequential method;and the fault feature group R is found ultimately.Then,constructing binary tree with maximum fault information volume of the system,locating fault point from fault feature group quickly,and the fault diagnosis in analog circuit is realized effectively.A diagnosis example is given to validate this method.