Name
Abstract | ||
|---|---|---|
•A multi-layer spiking neural network (SNN) is proposed for fault diagnosis.•The multi-layer SNN is based on the probabilistic spiking response model (PSRM).•A multi-layer learning algorithm is developed for network training.•The effectiveness of the proposed method is demonstrated via bearing experiments.•The multi-layer SNN is biologically transparent for bearing fault patterns. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ress.2022.108561 | Reliability Engineering & System Safety |
Keywords | DocType | Volume |
Multi-layer spiking neural network,Pulse sequence probability encoding,Bearing fault diagnosis,Probabilistic spiking response model (PSRM) | Journal | 225 |
ISSN | Citations | PageRank |
0951-8320 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Zuo | 1 | 0 | 0.34 |
| Fengjie Xu | 2 | 0 | 0.34 |
| Changhua Zhang | 3 | 0 | 1.01 |
| Tangfan Xiahou | 4 | 1 | 1.02 |
| Yu Liu | 5 | 190 | 19.09 |