An Integrated Cumulative Transformation and Feature Fusion Approach for Bearing Degradation Prognostics

Table 2

Evaluation results of the first eight best bearing features.

Feature	Monotonicity	Trendability	Robustness	Comprehensive indicator
WPE2	0.0081	0.7834	0.9813	0.4353
WPE5	0.0163	0.7262	0.9837	0.4228
WPE8	0.0203	0.6945	0.9811	0.4147
SDF	0.0163	0.6211	0.9739	0.3893
SMR	0.0224	0.5842	0.9826	0.3830
MAV	0.0183	0.5807	0.9820	0.3798
RMS	0.0163	0.5527	0.9790	0.3698
Skewness	0.0142	0.4845	0.9564	0.3437