A New Method for Reducing End Effects in Empirical Mode Decomposition | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 11، Special Issue، بهمن 2020، صفحه 183-193 اصل مقاله (533.49 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2020.4587 | ||
| نویسندگان | ||
| Javad Zarekar* 1؛ Gholamhasan Payganeh2؛ Mehrdad Nouri Khajavi2 | ||
| 1PhD Student, Department of solid Mechanic, Facultyof Mechanical Engineering, Shahid Rajaee University, Tehran ,IRAN. | ||
| 2Associate Professor, Department of solid Mechanic, Faculty of Mechanical Engineering, Shahid Rajaee University, Tehran ,IRAN. | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| End Effects؛ Hilbert–Huang Transform (HHT)؛ Empirical Mode Decomposition (EMD)؛ Intrinsic Mode Functions (IMF) | ||
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