Research Article

Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis

Table 4

Recognition rate of the ABN-CNN model under noise environment.

Convolution kernel sizeSNR (dB)
āˆ’4 (%)āˆ’2 (%)0 (%)2 (%)4 (%)6 (%)8 (%)10 (%)

1681.8790.3495.5798.4599.0499.4599.7799.74
2487.2193.9697.2899.0899.6699.8299.8599.90
3289.8395.1697.9699.2399.5299.6599.7399.88
4090.9295.9798.2599.3399.5499.7799.8099.90
4891.6996.3998.4399.4799.7099.8199.8399.85
5692.6896.5298.6599.3799.7699.7399.8599.88
6492.5696.8398.8199.5699.6599.8799.8899.95
7292.3696.3398.5599.2399.6099.7999.8099.87
8092.3596.8098.6399.4499.6199.7699.8999.83
8892.6397.0698.7999.5299.6399.7399.8799.80
9692.6597.1098.7999.6199.6299.8299.8499.81
10492.4596.5998.5999.5399.6299.7599.8099.90
11291.8496.2198.6499.4299.6999.7599.9099.90
12092.1396.3898.7399.4599.6399.7299.8599.86
12891.9096.6298.6099.4499.5599.7199.8499.84
The average92.6897.1098.7999.6199.7699.8799.9099.95