Dynamic analysis of railroad track faults based on neural network algorithms
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17. März 2025
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Online veröffentlicht: 17. März 2025
Eingereicht: 17. Okt. 2024
Akzeptiert: 07. Feb. 2025
DOI: https://doi.org/10.2478/amns-2025-0300
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© 2025 Yue Lyu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Error analysis of error characteristic frequency simulation
| Fault element | Speed of revolution(rpm) | Simulation frequency(Hz) | Theoretical frequency(Hz) | Error/% |
|---|---|---|---|---|
| Outer ring | 300 | 25.3 | 25.36 | 0.237 |
| 600 | 50.58 | 50.71 | 0.257 | |
| 900 | 75.84 | 76.09 | 0.330 | |
| 1200 | 101.07 | 101.41 | 0.336 | |
| 1500 | 126.42 | 126.75 | 0.261 | |
| 1800 | 151.61 | 152.16 | 0.363 | |
| Inner ring | 300 | 39.35 | 39.67 | 0.813 |
| 600 | 78.71 | 79.22 | 0.648 | |
| 900 | 118.12 | 118.88 | 0.643 | |
| 1200 | 157.51 | 158.56 | 0.667 | |
| 1500 | 196.86 | 198.19 | 0.676 | |
| 1800 | 236.23 | 237.79 | 0.660 | |
| Scroll body | 300 | 21.39 | 21.58 | 0.888 |
| 600 | 42.88 | 43.28 | 0.933 | |
| 900 | 64.3 | 64.91 | 0.949 | |
| 1200 | 85.75 | 86.58 | 0.968 | |
| 1500 | 107.17 | 108.19 | 0.952 | |
| 1800 | 128.7 | 129.87 | 0.909 |
The average accuracy of different modules added
| Model | 735W | 1470W | 2205W | Mean value/% |
|---|---|---|---|---|
| F1 | 99.12 | 99.56 | 99.83 | 99.50 |
| F2 | 95.45 | 95.68 | 95.89 | 95.67 |
| F3 | 96.58 | 96.89 | 97.12 | 96.86 |
| F4 | 91.53 | 92.13 | 92.45 | 92.04 |