Research Article
Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification
Table 2
Energy, SNR, and RMSE of synthetic signal, corrupted signal, and denoised signals.
| Signal type | Energy | SNR | RMSE |
| Synthetic signal | 41.895919 | ā | ā | Corrupted signal | 510.773031 | 0.793049 | 0.264839 | Signal denoised by s1 | 40.005523 | 0.824919 | 0.264418 | Signal denoised by s2 | 40.005523 | 0.824919 | 0.264418 | Signal denoised by s3 | 48.305217 | 1.539327 | 0.255139 | Signal denoised by s4 | 40.005523 | 0.824919 | 0.264418 | Signal denoised by s5 | 44.967623 | 0.930983 | 0.263019 | Signal denoised by s6 | 44.136735 | 0.930165 | 0.263030 | Signal denoised by s7 | 75.604166 | 4.712617 | 0.217706 |
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