A Fault Detection Method for Dual-output Flyback Converters Using CCA

Abstract

The flyback converter is highly preferred due to their cost effectiveness and electrical isolation characteristics. Because flyback converters are so crucial to the industrial world, it is crucial to assure their continuous and secure operation. A fault detection method based on CCA is suggested to efficiently identify a fault state for dual-output flyback converters. Firstly, both outputs voltage of the dual-output flyback converter are collected and then mean-centered. CCA is used to maximize the corelationship between the dual outputs. The residual matrix was constructed according to the correlation between the two outputs obtained by CCA. Then, a statistic is used to evaluate the residual matrix. Finally, calculate the corresponding threshold. The proposed method for detecting faults focuses on the correlation between the outputs, making it possible to identify faults with minimally abnormal characteristics. Fault detection in time can avoid further losses. Results from simulation experiments confirm the applicability and efficacy of the suggested method.