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- W2393482590 abstract "Considering the nonlinear, non-stationary characteristics of a gear vibration signal,and difficulty in obtaining a large number of failures samples, a gear fault diagnosis method combining improved intrinsic time-scale decomposition(IITD) and base-scale entropy was proposed. Firstly, IITD method was applied to decompose the vibration signal into a finite number of proper rotation(PR) components, then the first four proper rotation components were selected to calculate entropy, and finally the entropy values as feature vectors were input to a SVM-based classifier to distinguish the gear fault types. The results show that the proposed method can diagnose the fault categories effectively." @default.
- W2393482590 created "2016-06-24" @default.
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- W2393482590 date "2015-01-01" @default.
- W2393482590 modified "2023-09-23" @default.
- W2393482590 title "Gear fault diagnosis method based on IITD and base-scale entropy" @default.
- W2393482590 hasPublicationYear "2015" @default.
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