Research Article
Mechanical Fault Diagnosis Using Color Image Recognition of Vibration Spectrogram Based on Quaternion Invariable Moment
Table 6
Results of different feature exaction methods and recognition methods.
| | The number of training samples | The recognition rates of quaternion invariant moment and NWNN
(QIM + NWNN) | The recognition rates of quaternion invariant moment and PNN
(QIM + PNN) | The recognition rates of gray level-gradient cooccurrence matrix and NWNN
(GGC + NWNN) | The recognition rates of gray level-gradient cooccurrence matrix and PNN
(GGC + PNN) |
| | 20 | 96.25% | 91.25% | 95% | 87.5% | | 16 | 97.5% | 88.75% | 96.25% | 86.25% | | 12 | 95% | 88.75% | 88.75% | 80% | | 8 | 95% | 86.25% | 90% | 80% |
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