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

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.

Recycling Strategy of Green Closed-Loop Supply Chain Under Urban and Rural Low-Carbon Planning

“…The Stackelberg leader-follower game model is leveraged to shape the government as the leader, with manufacturers, remanufacturers, and recyclers as followers. They concluded that government subsidies can incentivise recycling and remanufacturing, and that remanufacturing costs influence closed-loop supply chain decisions [14,15]. Study the impact of information sharing on multi-tier supply chain indices to generate different levels of performance [16,17].…”