Research Article
Feature Extraction Based on Adaptive Multiwavelets and LTSA for Rotating Machinery Fault Diagnosis
Table 2
Values of the SDI and free parameters a, b, c, d, and f corresponding to the optimal multiwavelets for rotating machinery platform experiment.
| Scale | A01 | A02 | D01 | D02 | D11 | D12 | D21 | D22 |
| SDI | 125.67 | 119.70 | 135.81 | 76.93 | 175.49 | 108.34 | 166.59 | 105.30 | a | −1.10 | −0.61 | −3.81 | −8.26 | −1.17 | −2.98 | −8.50 | 4.56 | b | 7.86 | 8.93 | 3.46 | 7.41 | −4.16 | −6.76 | −3.46 | −3.90 | c | −3.17 | −1.06 | −4.74 | −5.18 | −3.00 | 0.96 | −3.33 | −5.68 | d | 9.48 | −0.08 | −4.64 | −1.26 | 5.53 | 5.69 | 7.25 | 5.51 | f | 1.03 | 3.30 | 7.15 | 9.86 | 0.89 | 4.59 | −1.17 | 1.85 |
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