Research Article
Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification
Table 6
Performance of SVM classifier.
| |
Scheme | All the 30 features as input | Features selected by FC as inputs | | | Training accuracy
(%) | Test accuracy
(%) | | | Training accuracy
(%) | Test accuracy
(%) |
| | s1 | 6 | 3.5 | 68.67 | 58.00 | 6 | 3 | 68.67 | 57.00 | | s2 | 6 | 3.5 | 68.67 | 58.00 | 6 | 3 | 68.67 | 57.00 | | s3 | 6 | 3.75 | 78.33 | 67.00 | 6 | 3 | 75.00 | 63.00 | | s4 | 6 | 3.5 | 68.67 | 58.00 | 6 | 3 | 68.67 | 57.00 | | s5 | 6 | 3.0 | 67.67 | 57.00 | 9 | 3 | 71.67 | 64.00 | | s6 | 6 | 3.0 | 67.67 | 57.00 | 10 | 3 | 71.67 | 64.00 | | s7 | 7 | 3.5 | 86.00 | 80.00 | 8 | 3 | 85.33 | 84.00 |
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