Name
Title | ||
|---|---|---|
Intelligent Fault Diagnosis Based on Multi-Resolution and One-Dimension Convolutional Neural Networks |
Abstract | ||
|---|---|---|
Intelligent fault diagnosis (IFD) plays an important role to increase the safety and reliability of rotating machinery. In recent years, there is a large number of deep-learning-based algorithms applied to IFD. Many studies have shown that the one-dimension convolutional neural network (1D-CNN) performs well in fault diagnosis on original vibration signals. However, the original vibration signals ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICSSE52999.2021.9538454 | 2021 International Conference on System Science and Engineering (ICSSE) |
Keywords | DocType | ISBN |
Vibrations,Fault diagnosis,Training,Predictive models,Wavelet packets,Data models,Safety | Conference | 978-1-6654-4848-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Po-Yi Liu | 1 | 0 | 0.34 |
| Chih-Cheng Chen | 2 | 26 | 9.96 |
| Sze-Teng Liong | 3 | 0 | 0.34 |
| Ming-Han Tsai | 4 | 36 | 4.84 |
| Ping-Cheng Hsieh | 5 | 0 | 0.34 |
| Kun-Ching Wang | 6 | 0 | 0.34 |