Fault Diagnosis Using Data Fusion with Ensemble Deep Learning Technique in IIoT

Table 3

The architecture of CNN-LSTM.

Type of layer	Number of parameters	Output shape
Conv1D	2080	(None, 15, 32)
Conv1D	4160	(None, 15, 64)
Maxpooling1D	0	(None, 15, 64)
Flatten	0	(None, 480)
Maxpooling1D	0	(None, 15, 32)
Dropout	0	(None, 15, 32)
LSTM	8320	(None, 15, 32)
Conv1D	128	(None, 15, 64)
Maxpooling1D	0	(None, 15, 64)
Dense	61568	(None, 128)
Dropout	0	(None, 128)
Dense	129	(None, 1)