The Cable Fault Diagnosis for XLPE Cable Based on 1DCNNs-BiLSTM Network

Table 2

The structural parameters of the 1DCNN-BiLSTM network.

Layers	Parameters	Data shape
Input		(8004, 1)
Conv1	Fitters = 16, kernel size = 3, stride = 1, activation = “tanh”	(8002, 16)
Conv2		(8000, 16)
MaxPooling1	Pool size = 3	(2666, 16)
Conv3	Fitters = 32, kernel size = 3, stride = 1, activation = “tanh”	(2662, 32)
Conv4		(2660, 32)
MaxPooling2	Pool size = 3	(888, 3)
Conv5	Fitters = 64, kernel size = 3, stride = 1, activation = “tanh”	(886, 64)
MaxPooling1	Pool size = 3	(295, 64)
BiLSTM1	Hidden = 128, activation = “tanh”	(256)
BiLSTM2		(256)
Softmax	Classifier	(4)