Research Article
Remaining Useful Life Prediction of Rolling Bearings Using Electrostatic Monitoring Based on Two-Stage Information Fusion Stochastic Filtering
Table 4
RUL prediction results based on HSMM.
| Sampling points | Degradation state | Identification of degradation state | Mean of the predicted result | Variance of the predicted result | Interval of the predicted result | Actual RUL | Predicted RUL |
| 1 | Initial degradation | Normal state | 5238 | 1910 | [3328, 7148] | 910 | Inaccurate | 2 | Initial degradation | Initial degradation | 1227 | 633 | [594, 1860] | 805 | Accurate | 3 | Initial degradation | Initial degradation | 1227 | 633 | [594, 1860] | 785 | Accurate | 4 | Initial degradation | Initial degradation | 1227 | 633 | [594, 1860] | 753 | Accurate | 5 | Initial degradation | Severe degradation | 327 | 115 | [212, 442] | 717 | Inaccurate | 6 | Initial degradation | Initial degradation | 1227 | 633 | [594, 1860] | 648 | Accurate | 7 | Initial degradation | Initial degradation | 1227 | 633 | [594, 1860] | 599 | Accurate | 8 | Severe degradation | Severe degradation | 327 | 115 | [212, 442] | 303 | Accurate | 9 | Severe degradation | Severe degradation | 327 | 115 | [212, 442] | 210 | Accurate | 10 | Severe degradation | Severe degradation | 327 | 115 | [212, 442] | 116 | Inaccurate |
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