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 pointsDegradation stateIdentification of degradation stateMean of the predicted resultVariance of the predicted resultInterval of the predicted resultActual RULPredicted RUL

1Initial degradationNormal state52381910[3328, 7148]910Inaccurate
2Initial degradationInitial degradation1227633[594, 1860]805Accurate
3Initial degradationInitial degradation1227633[594, 1860]785Accurate
4Initial degradationInitial degradation1227633[594, 1860]753Accurate
5Initial degradationSevere degradation327115[212, 442]717Inaccurate
6Initial degradationInitial degradation1227633[594, 1860]648Accurate
7Initial degradationInitial degradation1227633[594, 1860]599Accurate
8Severe degradationSevere degradation327115[212, 442]303Accurate
9Severe degradationSevere degradation327115[212, 442]210Accurate
10Severe degradationSevere degradation327115[212, 442]116Inaccurate