Research Article
Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis
Table 4
The classifying accuracy rate for each method.
| | Dataset | PCA (%) | DSPCA (%) | InEnRPCA (%) |
| | TE (1–4) | 50.5 | 95.8 | 97.3 | | TE (5–8) | 31.5 | 75.3 | 82.3 | | TE (9–12) | 34.0 | 41.8 | 47.5 | | TE (13–16) | 38.3 | 54.5 | 53.8 | | TE (17–20) | 47.3 | 77.0 | 78.0 | | TE (1–3) | 68.7 | 100.0 | 100.0 | | TE (4–6) | 62.0 | 64.0 | 59.0 | | TE (7–9) | 47.0 | 73.3 | 77.3 | | TE (10–12) | 45.7 | 58.7 | 59.3 | | TE (13–15) | 49.0 | 59.3 | 38.3 | | TE (16–18) | 62.0 | 83.3 | 85.0 | | TE (19–21) | 32.7 | 55.3 | 59.3 | | Wine | 66.7 | 96.7 | 100 |
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