Remaining Useful Life Prediction of Rolling Bearings Using Electrostatic Monitoring Based on Two-Stage Information Fusion Stochastic Filtering

<div>Trend charts of different indicators. (a) RMS. (b) Kurtosis. (c) Permutation entropy. (d) BID.</div>

Mathematical Problems in Engineering

fig5

Figure 5

Figure 5: Remaining Useful Life Prediction of Rolling Bearings Using Electrostatic Monitoring Based on Two-Stage Information Fusion Stochastic Filtering 

Figure 5 | Remaining Useful Life Prediction of Rolling Bearings Using Electrostatic Monitoring Based on Two-Stage Information Fusion Stochastic Filtering 