An Improved EMD Method Based on Utilizing Certain Inflection Points in the Construction of Envelope Curves

• Autorzy: Kafil Mohsen , Darabi Kaveh , Ziaei-Rad Saeed

Identyfikatory

DOI

10.24425/aoa.2023.145245

• Języki publikacji: EN

Abstrakty

EN

The empirical mode decomposition (EMD) algorithm is widely used as an adaptive time-frequency analysis method to decompose nonlinear and non-stationary signals into sets of intrinsic mode functions (IMFs). In the traditional EMD, the lower and upper envelopes should interpolate the minimum and maximum points of the signal, respectively. In this paper, an improved EMD method is proposed based on the new interpolation points, which are special inflection points (SIPn) of the signal. These points are identified in the signal and its first (n − 1) derivatives and are considered as auxiliary interpolation points in addition to the extrema. Therefore, the upper and lower envelopes should not only pass through the extrema but also these SIPn sets of points. By adding each set of SIPi (i = 1, 2, n) to the interpolation points, the frequency resolution of EMD is improved to a certain extent. The effectiveness of the proposed SIPn-EMD is validated by the decomposition of synthetic and experimental bearing vibration signals.

Słowa kluczowe

EN

empirical mode decomposition; EMD; interpolation points; envelope curve; inflection points; rolling element bearing fault diagnosis

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2023
• Tom: Vol. 48, No. 3
• Strony: 389--401
• Opis fizyczny: Bibliogr. 36 poz., rys., tab., wykr.

Twórcy

autor

Kafil Mohsen

• Mechanical Engineering Group, Pardis College, Isfahan University of Technology Isfahan, Iran
• Mobarakeh Steel Company Isfahan, Iran

autor

Darabi Kaveh

• Mobarakeh Steel Company Isfahan, Iran

autor

Ziaei-Rad Saeed

• Department of Mechanical Engineering, Isfahan University of Technology Isfahan, Iran

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023). (PL)