Research Article

Modeling Analysis of Power Transformer Fault Diagnosis Based on Improved Relevance Vector Machine

Table 2

Diagnosis comparison of the algorithms.

Diagnosis modelTarget errorTraining time (s)Test times (s)Accuracy diagnosis

BP neutral net0.01116.47 0.2593%
LS-SVM 0.011.250.10796%
Proposed RVM 0.010.7140.05100%