Research Article
Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis
Table 1
The datasets descriptions and parameter constitution.
| | Dataset | Numbers | Dimensions | Classes | | Train | Test |
| | TE (1–4) | 800 | 400 | 52 | 4 | | TE (5–8) | 800 | 400 | 52 | 4 | | TE (9–12) | 800 | 400 | 52 | 4 | | TE (13–16) | 800 | 400 | 52 | 4 | | TE (17–20) | 800 | 400 | 52 | 4 | | TE (1–3) | 600 | 300 | 52 | 3 | | TE (4–6) | 600 | 300 | 52 | 3 | | TE (7–9) | 600 | 300 | 52 | 3 | | TE (10–12) | 600 | 300 | 52 | 3 | | TE (13–15) | 600 | 300 | 52 | 3 | | TE (16–18) | 600 | 300 | 52 | 3 | | TE (19–21) | 600 | 300 | 52 | 3 | | Wine | 148 | 30 | 14 | 3 |
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