Research Article
Defect Detection of Pandrol Track Fastener Based on Local Depth Feature Fusion Network
Table 1
Defects detection results of Pandrol track fasteners based on DFFN.
| Track fastener | Detection method | (piece) | (piece) | (piece) | (piece) | FAR (%) | MAR (%) | ER (%) |
| Left track fastener | AE | 214 | 28 | 38 | 3 | 11.57 | 7.14 | 10.92 | RBM | 212 | 30 | 37 | 5 | 12.40 | 11.90 | 12.32 | DFFN | 212 | 30 | 42 | 0 | 12.40 | 0 | 10.56 |
| Right track fastener | AE | 197 | 26 | 39 | 4 | 11.26 | 9.52 | 11.36 | RBM | 194 | 28 | 37 | 5 | 12.61 | 11.90 | 12.50 | DFFN | 193 | 29 | 42 | 0 | 13.06 | 0 | 10.98 |
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