电力系统保护与控制2026，Vol.54Issue(6)：71-82,12.DOI:10.19783/j.cnki.pspc.250760
融合模型驱动与信号分析的逆变器开路故障诊断方法
An inverter open-circuit fault diagnosis method integrating model-driven and signal analysis
摘要
Abstract
To address the issue of subjective threshold setting and the difficulty in aligning feature signals with fault information in existing inverter open-circuit fault diagnosis methods,this paper proposes a novel diagnostic approach integrating model-driven and signal analysis techniques.First,a first-order differential tracker is constructed,and a wavelet analysis method is applied to denoise and decouple disturbances from the three-phase output voltages of the inverter.The residuals are then obtained by subtracting the nominal three-phase voltages,after filtering out noise disturbances and derived from the generalized state-space averaging method.Second,a voltage residual evaluation function based on short-time Fourier transform is introduced to calculate voltage time-frequency features and determine alarm thresholds,enabling fault detection through comparison.Meanwhile,the algebraic and polar relationships of the discrete Fourier coefficients of the voltage residuals are derived and summarized to identify the specific faulty power switch devices.Finally,a series of simulation results and hardware-in-the-loop experimental results verify the real-time response capability and diagnostic accuracy of the proposed method.关键词
逆变器/开路故障/微分跟踪器/电压残差评价/离散傅里叶系数Key words
inverter/open-circuit fault/differential tracker/voltage residual evaluation/discrete Fourier coefficients引用本文复制引用
孙天誉,陈超波,代佳伟,张彬彬,高嵩..融合模型驱动与信号分析的逆变器开路故障诊断方法[J].电力系统保护与控制,2026,54(6):71-82,12.基金项目
This work is supported by the National Natural Science Foundation of China(No.52572487). 国家自然科学基金项目资助(52572487) （No.52572487）
陕西省重点研发计划项目-重点产业创新链(群)-工业领域资助(2024GX-ZDCYL-03-06) （群）
陕西高校青年创新团队项目资助(2023997) （2023997）
国防科工局基础科研项目资助(G20230823) （G20230823）
