Original scientific paper

https://doi.org/10.17559/TV-20210413092639

Fault Diagnosis of IGBT Single-Phase Bridge Arm Based on Fuzzy Logic Genetic Algorithm

Jie Wu ; 1) College of electronic information engineering, Changchun University of Science and Technology, Changchun 130022, China 2) School of electrical and information engineering, Beihua University, Jilin 132021, China

Abstract

Aiming at the problem that single-phase rectifier transformation is prone to failure in the use of three-phase rectifier transformation, this paper introduces fuzzy logic genetic algorithm into the fault detection process of IGBT single-phase bridge arm structure. The algorithm mainly analyzes the DC side current in detail in the frequency domain to judge the fault of IGBT open circuit. In the fault diagnosis of single-phase bridge arm structure, the system circuit model is analyzed by sensors by using fuzzy logic genetic algorithm to judge the type of fault. Finally, the experimental results show that this method can detect faults in a fixed sampling period and in the frequency domain. It can effectively eliminate the interference of other frequency signals and increase the reliability of the system and the accuracy of fault diagnosis.

Keywords

discrete fourier transform; igbt fault detection; open circuit fault; Single-phase pwm rectification

Hrčak ID:

272588

URI

https://hrcak.srce.hr/272588

Publication date:

15.4.2022.

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