Table 18 The sensitivity analysis of the proposed scheme for the investigated scenarios considering the simultaneous impact of other parameters (The first analysis).

PAs Performance			Average Accuracy of the PAs as Algorithm Outputs (%)
Change in the Fundamental Parameters			Fault Detection		FT and FP Detection		Fault Location
Change in the Fundamental Parameters			DNN Type 1	DNN Type 2	DNN Type 1	DNN Type 2	DNN Type 1	DNN Type 2
The measurements number for DNNs Training Process	4		96.54	97.7	96.63	97.79	95.01	96.67
	8		98.73	99.90	98.41	99.63	96.84	98.02
	8		97.11	98.26	97.13	98.27	95.65	97.08
	8		96.96	98.37	97.08	98.28	95.31	96.80
	8		96.67	98.03	96.73	98.04	95.24	96.86
	8		98.66	99.895	98.55	99.79	97.66	98.425
	12		97.94	98.94	97.80	98.87	96.91	98.15
	16		97.83	99.03	97.82	99.03	96.43	97.92
The laterals number in each line (First column) – The lines and laterals number in the system (Second column)	0	4	98.73	99.90	98.41	99.63	96.84	98.02
	0	4	98.66	99.895	98.55	99.79	97.66	98.425
	1	8	97.94	98.94	97.80	98.87	96.91	98.15
	1	8	97.11	98.26	97.13	98.27	95.65	97.08
	1	8	96.54	97.70	96.63	97.79	95.01	96.67
	1	8	96.67	98.03	96.73	98.04	95.24	96.86
	2	12	97.83	99.03	97.82	99.03	96.43	97.92
	2	12	96.96	98.37	97.08	98.28	95.31	96.80
The accuracy of the scenarios in different data transfer types (from PAs to CBs)	Lo		98.73	99.90	98.41	99.63	96.84	98.02
	Lo		97.94	98.94	97.80	98.87	96.91	98.15
	Lo		97.83	99.03	97.82	99.03	96.43	97.92
	Lo, Com		97.11	98.26	97.13	98.27	95.65	97.08
	Lo, Com		96.96	98.37	97.08	98.28	95.31	96.80
	Lo, Com		96.54	97.70	96.63	97.79	95.01	96.80
	Lo, Com		96.67	98.03	96.73	98.04	95.24	96.86
	Com		98.66	99.895	98.55	99.79	97.66	98.425

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