Kumar, Prem Shankar and Kumaraswamidhas, Lakshmi Annamalai and Laha, Swarup Kumar (2019) Selecting effective intrinsic mode functions of empirical mode decomposition and variational mode decomposition using dynamic time warping algorithm for rolling element bearing fault diagnosis. Transactions of the Institute of Measurement and Control, 41 (7). pp. 1923-1932.

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Empirical Mode Decomposition (EMD) and Variational Mode Decomposition (VMD) are data-driven self-adaptive signal processing methods to decompose a complex signal into different modes of separate spectral bands, in to a number of Intrinsic Mode Functions (IMFs). While the EMD extracts modes recursively and empirically, the VMD extracts modes non-recursively and concurrently. In this paper, both the EMD and the VMD have been applied to examine their efficacy in fault diagnosis of rolling element bearing. However, all the IMFs do not contain necessary information regarding fault characteristic signature of the bearing. In order to select the effective IMF, the Dynamic Time Warping (DTW) algorithm has been employed here, which gives a measurement of similarity index between two signals. Also, correlation analysis has been carried out to select the appropriate IMFs. Finally, out of the selected IMFs, bearing characteristic fault frequencies have been determined with the envelope spectrum.

Item Type: Article
Subjects: Electro discharge machining (EDM)
Depositing User: Dr. Arup Kr. Nandi
Date Deposited: 15 Jan 2021 06:57
Last Modified: 15 Jan 2021 06:57
URI: http://cmeri.csircentral.net/id/eprint/663

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