T-HMM-Based Transformer Fault Diagnosis in Grid-Connected Renewable Energy Systems
Experimental results demonstrate that the proposed T-HMM accurately tracks state evolution trends and effectively identifies fault categories, achieving significantly superior state recognition accuracy and multi-step prediction hit rates compared to conventional HMM, with substantially reduced mean absolute error.