Research Article
Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling
Table 3
Error achieved by the model with the four different sets used in the experimental validation.
corresponds to RMSE,
to MAPE, and
to MAE.
| | HC | | 0.014 | | HC | | 0.020 | | HC | | 0.007 | | 3.654% | | 4.120% | | 1.212% | | 0.1 | | 0.127 | | 0.075 |
| | BF | | 0.010 | | BF | | 0.014 | | BF | | 0.005 | | 1.699% | | 1.213% | | 0.784% | | 0.09 | | 0.097 | | 0.065 |
| | HBRB | | 0.099 | | HBRB | | 0.017 | | HBRB | | 0.005 | | 1.625% | | 2.245% | | 0.745% | | 0.084 | | 0.116 | | 0.063 |
| | FBRB | | 0.018 | | FBRB | | 0.014 | | FBRB | | 0.007 | | 3.397% | | 2.815% | | 1.002% | | 0.118 | | 0.105 | | 0.073 |
| | Mean | | 0.013 | | Mean | | 0.016 | | Mean | | 0.006 | | 2.5937% | | 2.5981% | | 0.936% | | 0.0982 | | 0.111 | | 0.069 |
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