A New Method for Reducing End Effects in Empirical Mode Decomposition
Publish Year: 1399
Type: Journal paper
Language: English
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Document National Code:
JR_IJNAA-11-0_014
Index date: 2 December 2022
A New Method for Reducing End Effects in Empirical Mode Decomposition abstract
Real time vibrational signal processing is one of the fault detection methods for the mechanical systems. The Hilbert–Huang Transform (HHT) is a newly developed robust method for analyzing nonlinear and non-stationary vibrations based on time-frequency distribution. This approach is based on Empirical Mode Decomposition (EMD) and Hilbert spectral analysis. This paper presents a state-of-the-art method for decomposing a signal into a set of so-called Intrinsic Mode Functions (IMF). The proposed alternative method is based on the change in the screening algorithm. This modified method is useful to mitigate end effects and reduces the calculation load and time. The effectiveness of this method was validated by numerical simulation. The results show the accuracy and reliability of this method.
A New Method for Reducing End Effects in Empirical Mode Decomposition Keywords:
End Effects , Hilbert , Huang Transform (HHT) , Empirical Mode Decomposition (EMD) , Intrinsic Mode Functions (IMF)
A New Method for Reducing End Effects in Empirical Mode Decomposition authors
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PhD Student, Department of solid Mechanic, Facultyof Mechanical Engineering, Shahid Rajaee University, Tehran ,IRAN.
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Associate Professor, Department of solid Mechanic, Faculty of Mechanical Engineering, Shahid Rajaee University, Tehran ,IRAN.
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Associate Professor, Department of solid Mechanic, Faculty of Mechanical Engineering, Shahid Rajaee University, Tehran ,IRAN.