Research Article
Remaining Useful Life Prediction Method of Rolling Bearings Based on Pchip-EEMD-GM(1, 1) Model
Figure 5
The 11 features extracted from the bearing full life data.
(a) Time domain, RMS |
(b) Time domain, peak-peak value |
(c) Time domain, kurtosis |
(d) Time domain, peak factor |
(e) Frequency domain, spectrum mean |
(f) Frequency domain, spectrum variance |
(g) Frequency domain, spectrum RMS |
(h) Time-frequency domain, E3 |
(i) Time-frequency domain, E7 |
(j) Time-frequency domain, S3 |
(k) Time-frequency domain, S7 |
(l) The time of data collection |