二阶带通滤波器电阻软故障模糊诊断算法

Fuzzy diagnosis algorithm of resistance soft faults in second-order band-pass filters

为提高故障字典法的实用性,提出了一种基于模糊诊断算法的二阶带通滤波器故障特征提取方法。使输入信号频率处于滤波器截止频率之外的衰减边沿,从而使滤波器测试点电压能够灵敏地反映故障元件的变化。使用模糊隶属函数与决策函数计算待诊断电路与每一种电路状态的整体隶属度,从而实现二阶带通滤波器的故障诊断。实验结果表明:该文的故障特征提取方法在构建滤波器故障样本时具有简单快捷的优势,模糊隶属度能够清晰地描述待诊断电路与各种故障状态之间的接近程度,在故障集不重合的情况下,诊断成功率为100%。

To improve the practicability of the fault dictionary method, a fault feature extraction method of second-order band-pass filters is proposed based on the fuzzy diagnosis algorithm. The frequency of the input signals is beyond the cutoff frequency of the filter,and the voltages of the testing points in the filter are sensitive to the variations of fault elements. The fault diagnosis of second-order band-pass filters is realized by calculating whole membership degrees between undiagnosed circuits and every circuit state using fuzzy membership functions and fuzzy decision functions. The experimental results show that the extraction method of fault features proposed here is simple and efficient when gathering the fault samples of filters; the similarity levels between undiagnosed circuits and every fault state are described by fuzzy membership degrees clearly;the accuracy rate of fault diagnosis is 100% when every fault set is discrete.