Multiscale Adaptive Fault Diagnosis Based on Signal Symmetry Reconstitution Preprocessing for Microgrid Inverter Under Changing Load Condition
Multiscale Adaptive Fault Diagnosis Based on Signal Symmetry Reconstitution Preprocessing for Microgrid Inverter Under Changing Load Condition
复制标题
负载变化条件下基于信号对称重构预处理的微电网逆变器多尺度自适应故障诊断
DOI：
10.1109/tsg.2016.2565667
复制
发表时间：
2018-03-01
影响因子：
9.6
通讯作者：
Zhang, Huaguang
中科院分区：
文献类型：
--
作者：
Wang, Zhanshan;Huang, Zhanjun;Zhang, Huaguang
本文提出一种基于信号对称重构预处理（SSRP）的多尺度自适应故障诊断（MAFD）方法，以实现微电网逆变器在负载变化条件下任意开关的故障诊断。MAFD方法由SSRP、多尺度特征提取和人工神经网络（ANN）组成。首先，使用SSRP方法生成多尺度特征提取的输入信号，这可以减少负载变化的影响。然后，通过多级信号分解和系数重构的方法实现多尺度特征提取，以提取不同频率组信号的能量含量。它能够表示三相电流在不同层次的详细信号变化规律。最后，为了实现基于数据的自适应故障诊断，使用ANN来检测逆变器开关故障的类型和位置。与传统故障诊断方法相比，所提出的故障诊断方法能够在负载变化条件下准确地检测和定位微电网逆变器任意开关的故障。通过详细的仿真和实验结果验证了所提出故障诊断方法的有效性。
In this paper, a multiscale adaptive fault diagnosis (MAFD) method based on signal symmetry reconstitution preprocessing (SSRP) is proposed to realize fault diagnosis for any switch of the microgrid inverter under changing load condition. The MAFD method is composed of SSRP, multiscale features extraction, and artificial neural network (ANN). First, the SSRP method is used to generate the input signals of multiscale features extraction, which can reduce the impact of the changing load. Then, the multiscale features extraction is realized by the means of multilevel signal decomposition and coefficients reconstruction to extract energy content of different frequency groups signal. It can represent the detailed signal change laws at different levels for three-phase current. Finally, in order to achieve data-based adaptive fault diagnosis, ANN is used to detect the type and the location of the inverter switch fault. Compared to conventional fault diagnosis methods, the proposed fault diagnosis method can accurately detect and locate fault for any switch of the microgrid inverter under changing load condition. The effectiveness of the proposed fault diagnosis method is verified through detailed simulation and experimental results.