针对非线性模拟电路软故障诊断的难题,基于Volterra核二次型分布—–Wigner Ville分布(WVD),提出一种故障特征提取的新方法.首先计算待测试电路(CUT)的Volterra核;然后对该Volterra核进行WVD转换,得到WVD函数,从中提取出故障特征,完成非线性模拟电路的软故障诊断.仿真实验结果表明,该方法能有效地解决故障混叠难题,提升故障元件检测和定位的能力. Aiming at the problem of soft fault diagnosis of nonlinear analog circuits, a new method of fault feature extraction based on Volterra kernel quadratic distribution - Wigner Ville distribution (WVD) is proposed. The CUT Volterra kernel is first calculated and then The WVD function of the Volterra core is obtained, and the WVD function is obtained, and the fault features are extracted to complete the soft fault diagnosis of the nonlinear analog circuit.The simulation results show that the proposed method can effectively solve the problem of fault aliasing and improve the fault detection and location Ability.