Park's Vector Transform, discrete wavelet transform, Artificial Neural Network, Fuzzy Logic and other methods are used to diagnose faults in the power converter in both single and multiple open switch situations. In this work, we propose a robust framework that is efficient for both tasks based on an Adaptive Dual-Constrained Line Aggregation (ADLA) algorithm. For example, two 10-gigabit Ethernet ports, one each from two MLAG configured switches, can connect to two 10-gigabit ports on a host, switch, or network device to create a link that. Fault diagnosis in power converters is essential for keeping electrical systems stable, efficient and long-lasting. While automated inspection has revolutionized power infrastructure.