Research Article
Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis
Table 2
Weight for each feature in the TE dataset.
| Feature | Weight |
| 1 | 1.26 | 2 | 0.83 | 3 | 1.16 | 4 | 1.06 | 5 | 1.15 | 6 | 0.82 | 7 | 1.25 | 8 | 0.94 | 9 | 0.89 | 10 | 1.29 | 11 | 1.25 | 12 | 0.96 | 13 | 1.26 | 14 | 1.12 | 15 | 0.90 | 16 | 1.23 | 17 | 0.80 | 18 | 1.06 | 19 | 1.37 | 20 | 1.35 | 21 | 1.14 | 22 | 1.23 | 23 | 1.27 | 24 | 0.78 | 25 | 1.25 | 26 | 0.58 | 27 | 0.67 | 28 | 1.27 | 29 | 1.32 | 30 | 0.94 | 31 | 1.30 | 32 | 0.54 | 33 | 0.67 | 34 | 1.31 | 35 | 1.23 | 36 | 1.23 | 37 | 0.59 | 38 | 1.30 | 39 | 0.60 | 40 | 0.65 | 41 | 0.78 | 42 | 1.17 | 43 | 1.25 | 44 | 1.26 | 45 | 1.53 | 46 | 1.34 | 47 | 1.31 | 48 | 0.96 | 49 | 0.90 | 50 | 1.37 | 51 | 1.22 | 52 | 1.41 |
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