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According to this, the sub-modal obtained by empirical wavelet transform (EWT), secondary decomposition is tested by the Gaussian distribution hypothesis test. ... But when the rolling bearing fails, whether the outer race fault or the inner race fault, the symmetry of the rolling bearing is broken and the fault destroys the rolling bearing's stable working state ... According to the above analysis, we propose a novel rolling bearing fault diagnosis method based on an empirical wavelet transform (EWT) sub-modal hypothesis test and ambiguity correlation classification ...doi:10.3390/sym10120730 fatcat:pknfhfnbhrah7puxdzzve4usua
INDEX TERMS Empirical wavelet transform, spectral negentropy, spectral segmentation, trend spectrum, rolling bearing fault diagnosis. ... The experimental signals show that the method can successfully extract the fault features of inner or outer rings of bearings, and is suitable for the diagnosis of composite faults. ... Li from Shanghai Jiao Tong University for providing the experimental data of the bearing fault simulator. ...doi:10.1109/access.2019.2902645 fatcat:hkfm6dwj5fhyfigfeobmjmsbse
The experimental results show that the proposed methodology achieves a competitive accuracy in the fault diagnosis of the induction motors and that it outperformed the traditional statistical and other ... The electrical current signal data is collected for five different types of fault and one normal operating condition of the induction motors. ...  proposed a fault diagnosis method based on an empirical wavelet transform sub modal hypothesis test and ambiguity correlation classification to diagnose the rolling bearing faults using vibration ...doi:10.3390/sym11101212 fatcat:nxfsowi6dfdvrcqdoikpzmdm6u
Mathematics and individual needs ... Green for his invaluable comments and patience. ... Validation studies using pooled subjective judgments as a criterion have generally found high correlation between experts' assessments and scores on formulas derived from comprehension test data. ...doi:10.26174/thesis.lboro.14695170 fatcat:oinwyxpviraq5audc3pvmzflaq