Research Article

An Intelligent Fault Diagnosis Method for Transformer Based on IPSO-gcForest

Table 3

Comparison of diagnostic results of different models.

Evaluation indexFault typeDiagnostic results of different models /%
RFDBNgcForestPSO-gcForestIPSO-gcForest

PrecisionN80.0080.5685.2993.7596.88
D180.8582.1190.8098.7798.80
D271.4380.0082.1490.0096.55
D388.2487.5073.6871.4384.21
T188.6890.5791.3889.6691.38
T287.6588.8992.4194.8794.94
T385.0085.0087.5095.2495.24

Recall rateN84.8587.8887.8890.9193.94
D190.4892.8694.0595.2497.62
D250.0053.3376.6790.0093.33
D378.9573.6873.6878.9584.21
T183.9385.7194.6492.8694.64
T293.4294.7496.0597.3798.68
T373.9173.9160.8786.9686.96