Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (1): 233-246.doi: 10.23919/JSEE.2022.000023
• RELIABILITY • Previous Articles
Kwame Bensah KULEVOME Delanyo1,2, Hong WANG1,2,*(), Xuegang WANG1()
Received:
2020-11-10
Accepted:
2021-11-25
Online:
2022-01-18
Published:
2022-02-22
Contact:
Hong WANG
E-mail:hongw@uestc.edu.cn;xgwang@uestc.edu.cn
About author:
Supported by:
Kwame Bensah KULEVOME Delanyo, Hong WANG, Xuegang WANG. Deep neural network based classification of rolling element bearings and health degradation through comprehensive vibration signal analysis[J]. Journal of Systems Engineering and Electronics, 2022, 33(1): 233-246.
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Table 3
Description of bearing operating condition"
Bearing operating condition | Diameter of faults/ mm | Size of segment | Class label | ||||
Training | Validation and testing | ||||||
0 hp | 3 hp | 0 hp | 3 hp | ||||
Normal | 0 | 480 | 960 | 120 | 240 | 1 | |
Ball | 0.18 | 240 | 240 | 60 | 60 | 2 | |
Ball | 0.36 | 240 | 240 | 60 | 60 | 3 | |
Ball | 0.54 | 240 | 240 | 60 | 60 | 4 | |
Inner race | 0.18 | 240 | 240 | 60 | 60 | 5 | |
Inner race | 0.36 | 240 | 240 | 60 | 60 | 6 | |
Inner race | 0.54 | 240 | 240 | 60 | 60 | 7 | |
Outer race | 0.18 | 240 | 240 | 60 | 60 | 8 | |
Outer race | 0.36 | 240 | 240 | 60 | 60 | 9 | |
Outer race | 0.54 | 240 | 240 | 60 | 60 | 10 |
Table 5
Average testing accuracy and computation time compa-rison of the three approaches in the experiment"
Load | Input data | Average accuracy/% | Average time/ (epoch/s) | Epoch for best model | |
Train | Test | ||||
0 hp | Raw signal | 91.26 | 89.52 | 35 | 16 |
Spectrogram | 99.77 | 97.88 | 30 | 15 | |
Mel spectrogram | 99.98 | 98.79 | 27 | 16 | |
3 hp | Raw signal | 98.27 | 91.03 | 41 | 34 |
Spectrogram | 100 | 98.97 | 38 | 34 | |
Mel Spectrogram | 100 | 99.23 | 35 | 25 |
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