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Study on Fault Diagnosis of Mining Tape Conveyor Based on MPGA-BP
| Content Provider | Scilit |
|---|---|
| Author | Yang, Yong Cui, Chenchen Guo, Xiucai |
| Copyright Year | 2019 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science In order to detect the malfunction of the mine tape transporter drive device imely, a fault diagnosis model of mine tape transporter based on multiple group genetic neural networks is established by combining multiple swarm genetic algorithms with BP neural network algorithm. The simulation results show that the algorithm can effectively solve the problems such as the easy fall of BP neural network into local minimum value and too many training times, which leads to too slow convergence. The fault diagnosis model has strong global search ability, high training precision and fast convergence speed, and can supplement and perfect the protection system of mine tape conveyor. |
| Related Links | https://iopscience.iop.org/article/10.1088/1755-1315/252/5/052039/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/252/5/052039 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 5 |
| Volume Number | 252 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-04-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Industrial Engineering Neural Network Algorithm System of Mine Fault Diagnosis Mine Tape |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |
