Open AccessSymmetry‐analysis‐based diagnosis method with correlation coefficients for open‐circuit fault in inverter
Author(s) -
Wu Feng,
Zhao Jin,
Liu Yang
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.2415
Subject(s) - robustness (evolution) , inverter , correlation coefficient , control theory (sociology) , voltage , electronic engineering , computer science , current (fluid) , fault (geology) , fault detection and isolation , algorithm , engineering , electrical engineering , artificial intelligence , biochemistry , chemistry , control (management) , machine learning , seismology , geology , actuator , gene
A current‐based, real‐time and fast symmetry‐analysis‐based diagnosis method with a correlation coefficient for an open‐circuit fault in a voltage‐source inverter is proposed. The proposed method includes three steps: data reconstruction, features extraction, fault detection and isolation. To achieve fair robustness, real‐time and fast performance, sliding windows with length of a period current samples are designed for data reconstruction. Correlation coefficients of each of the two phase currents are designed to describe the symmetry of the inverter both in a healthy and a faulty condition, and mean values of current samples during a period are used to accurately isolate the faulty switch or switches. The proposed method is current‐based sharing the current sensors that are used for the current regulators, hence it is low‐cost. The high effectiveness and merit of the proposed method are validated by experiments.