Abnormal Health Monitoring and Assessment of a Three-Phase Induction Motor Using a Supervised CNN-RNN-Based Machine Learning Algorithm

Table 3

Comparison of the accuracy of fault current with various methods.

Data	1.2% precision				1.9% precision
	CRNN	CNN	RNN	ANN [19]	CRNN	CNN	RNN	ANN [19]
Single label	1.36	2.36	2.66	3.69	1.56	2.98	3.78	4.65
Multilabel	1.45	2.89	3.21	4.23	1.61	2.91	3.06	4.02