Journal of Electrical Systems and Information Technology

Table 4 Training results with proposed Bi-LSTM network

From: Fault classification of three phase induction motors using Bi-LSTM networks

	NO	OL	OV	UV	VUB	SP
NO	0.9990	0.0001	0.0000	0.0004	0.0005	0.0000
NO	0.9999	0.0001	0.0000	0.0000	0.0000	0.0000
NO	0.9995	0.0000	0.0000	0.0001	0.0004	0.0000
NO	0.9996	0.0001	0.0000	0.0000	0.0003	0.0000
NO	0.9995	0.0001	0.0000	0.0000	0.0004	0.0000
OL	0.0012	0.9933	0.0000	0.0052	0.0002	0.0000
OL	0.0005	0.9962	0.0000	0.0031	0.0001	0.0000
OL	0.0001	0.9994	0.0000	0.0005	0.0000	0.0000
OL	0.0000	0.9998	0.0000	0.0002	0.0000	0.0000
OL	0.0000	0.9999	0.0000	0.0000	0.0000	0.0000
OV	0.0324	0.0005	0.9668	0.0000	0.0001	0.0001
OV	0.0164	0.0003	0.9832	0.0000	0.0001	0.0001
OV	0.0060	0.0001	0.9938	0.0000	0.0000	0.0000
OV	0.0023	0.0001	0.9976	0.0000	0.0000	0.0000
OV	0.0167	0.0000	0.9831	0.0000	0.0001	0.0000
UV	0.0003	0.0006	0.0000	0.9988	0.0003	0.0000
UV	0.0002	0.0004	0.0000	0.9992	0.0002	0.0000
UV	0.0001	0.0003	0.0000	0.9995	0.0001	0.0000
UV	0.0000	0.0001	0.0000	0.9997	0.0001	0.0000
UV	0.0000	0.0001	0.0000	0.9998	0.0001	0.0000
VUB	0.0009	0.0000	0.0000	0.0005	0.9985	0.0000
VUB	0.0011	0.0000	0.0000	0.0006	0.9983	0.0000
VUB	0.0001	0.0000	0.0000	0.0002	0.9996	0.0000
VUB	0.0001	0.0000	0.0000	0.0001	0.9998	0.0000
VUB	0.0001	0.0000	0.0000	0.0002	0.9997	0.0000
SP	0.0001	0.0000	0.0000	0.0000	0.0000	0.9999
SP	0.0001	0.0000	0.0000	0.0000	0.0000	0.9999
SP	0.0001	0.0001	0.0000	0.0000	0.0000	0.9998
SP	0.0001	0.0000	0.0000	0.0000	0.0000	0.9999
SP	0.0001	0.0000	0.0000	0.0000	0.0000	0.9999

The bold values represent classifications identified

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