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

Table 7

Comparative analysis of 80%–20% on the proposed model with various existing algorithms.

Algorithm	Accuracy	Precision	Recall	F-score
RNN	87.35	78.21	81.10	81.11
LSTM	94.82	89.33	87.70	88.64
CNN	94.62	88.82	92.50	89.02
DNN	90.76	93.45	92.50	87.39
CNN-LSTM	96.63	97.85	92.70	90.33
PropensityNet	96.12	98.23	93.27	91.02
Proposed ensemble	98.84	99.23	94.32	92.91