An improved extreme-point symmetric mode decomposition method and its application to rolling bearing fault diagnosis
نویسندگان
چکیده
منابع مشابه
Improved Ensemble Empirical Mode Decomposition for Rolling Bearing Fault Diagnosis
Rolling bearing is an important part in mechanical system and faults occur frequently with vibration noise. Empirical mode decomposition (EMD) is a tool for nonlinear and non-stationary signals analysis. However, the major drawbacks of EMD are mode mixing problem, ensemble empirical mode decomposition (EEMD) provides a new tool for signal analysis, and it is an improved technique of EMD. In ord...
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Rolling bearings are key components of rotary machines. To ensure early effective fault diagnosis for bearings, a new rolling bearing fault diagnosis method based on variational mode decomposition (VMD) and an improved kernel extreme learning machine (KELM) is proposed in this paper. A fault signal is decomposed via VMD to obtain the intrinsic mode function (IMF) components, and the approximate...
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ژورنال
عنوان ژورنال: Journal of Vibroengineering
سال: 2018
ISSN: 1392-8716,2538-8460
DOI: 10.21595/jve.2018.19234