Research Article
Probabilistic Neural Network and Fuzzy Cluster Analysis Methods Applied to Impedance-Based SHM for Damage Classification
Table 3
Classification of test set of probabilistic neural networks for each PZT patch in the aircraft panel.
| | | Baseline | Damage 1 | Damage 2 | Error% |
| PZT1 | ✓ | 23 | 10 | 5 | 52,5% | ✗ | 17 | 10 | 15 | Total | | 40 | 20 | 20 |
| PZT2 | ✓ | 20 | 9 | 8 | 55% | ✗ | 20 | 11 | 12 | Total | | 40 | 20 | 20 |
| PZT3 | ✓ | 35 | 20 | 16 | 11,25% | ✗ | 5 | 0 | 4 | Total | | 40 | 20 | 20 |
| PZT4 | ✓ | 32 | 20 | 14 | 17,5% | ✗ | 8 | 0 | 6 | Total | | 40 | 20 | 20 |
| PZT5 | ✓ | 40 | 19 | 18 | 3,75% | ✗ | 0 | 1 | 2 | Total | | 40 | 20 | 20 |
| PZT6 | ✓ | 40 | 20 | 18 | 48,75% | ✗ | 19 | 8 | 12 | Total | | 40 | 20 | 20 |
| PZT7 | ✓ | 40 | 20 | 19 | 1,25% | ✗ | 0 | 0 | 1 | Total | | 40 | 20 | 20 |
| PZT8 | ✓ | 40 | 20 | 18 | 2,5% | ✗ | 0 | 0 | 2 | Total | | 40 | 20 | 20 |
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