Research Article
The Leakage Identification and Location of Ship Pipeline System Based on Vibration Signal Processing
Table 8
Results of leak point location in the neural network.
| Sample number | Leak location | Expected output | Actual output | Positioning results |
| 1 | 1 | (0, 0) | (0.1125, 0.0056) | Leak point 1 | 2 | 1 | (0, 0) | (−0.1569, −0.6472) | Unable to locate | 3 | 2 | (0, 1) | (−0.0042, 0.8023) | Leak point 2 | 4 | 2 | (0, 1) | (−0.0182, 0.9579) | Leak point 2 | 5 | 3 | (1, 0) | (0.9804, 0.0824) | Leak point 3 | 6 | 3 | (1, 0) | (0.9466, 0.0218) | Leak point 3 | 7 | 4 | (1, 1) | (1.0804, 0.9892) | Leak point 4 | 8 | 4 | (1, 1) | (1.2520, 0.3278) | Unable to locate |
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