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

Table 5

Comparative analysis of 50%–50% on the proposed model with various existing algorithms.

Algorithm	Accuracy	Precision	Recall	F-score
RNN	81.10	89.41	75.91	86.72
LSTM	87.70	89.41	85.21	91.82
CNN	92.50	89.82	90.98	95.27
DNN	92.50	87.63	91.38	95.18
CNN-LSTM	92.70	88.90	91.93	95.32
PropensityNet	93.27	87.91	92.47	95.63
Proposed ensemble	94.32	90.95	93.24	96.02