Research Article
Wear Identification of Vibration Drilling Bit Based on Improved LMD and BP Neural Network
Table 6
The influence of different network structures and neurons on the recognition results.
| | Network layers | Number of neurons (single signal) | Recognition rate | Number of neurons (fusion of two signals) | Recognition rate | Number of neurons (fusion of three signals) | Recognition rate |
| | 2 | Force | 2 | 0.7917 | Fusion of force signal and AE signal | 5 | 0.8333 | 8 | 0.9166 | | AE | 3 | 0.8333 | Fusion of force signal and vibration signal | 5 | 0.7917 | | Vibration | 3 | 0.8750 | Fusion of AE signal and vibration signal | 6 | 0.9166 | | 3 | Force | 2 | 0.8333 | Fusion of force signal and AE signal | 5 | 0.7917 | 8 | 0.9583 | | AE | 3 | 0.9166 | Fusion of force signal and vibration signal | 5 | 0.916 | | Vibration | 3 | 0.9166 | Fusion of AE signal and vibration signal | 6 | 0.9583 | | 4 | Force | 2 | 0.8750 | Fusion of force signal and AE signal | 5 | 0.9166 | 8 | 1.0000 | | AE | 3 | 0.9583 | Fusion of force signal and vibration signal | 5 | 0.9583 | | Vibration | 3 | 0.9166 | Fusion of AE signal and vibration signal | 6 | 0.9583 | | 5 | Force | 2 | 0.8750 | Fusion of force signal and AE signal | 5 | 0.8333 | 8 | 0.9166 | | AE | 3 | 0.8750 | Fusion of force signal and vibration signal | 5 | 0.9166 | | Vibration | 3 | 0.9166 | Fusion of AE signal and vibration signal | 6 | 0.9583 |
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