A New Bearing Fault Detection Strategy Based on Combined Modes Ensemble Empirical Mode Decomposition, KMAD, and an Enhanced Deconvolution Process

A New Bearing Fault Detection Strategy Based on Combined Modes Ensemble Empirical Mode Decomposition, KMAD, and an Enhanced Deconvolution Process

In bearing fault diagnosis, ensemble empirical mode decomposition (EEMD) is a reliable technique for treating rolling bearing vibration signals by dividing them into intrinsic mode functions (IMFs). Traditional methods used in EEMD consist of identifying IMFs containing the fault information and rec...

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Bibliographic Details
Main Authors:	Yasser Damine, Noureddine Bessous, Remus Pusca, Ahmed Chaouki Megherbi, Raphaël Romary, Salim Sbaa
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Series:	Energies
Subjects:	combined modes ensemble empirical mode decomposition KMAD indicator three-sigma rule enhanced minimum entropy deconvolution rolling element bearing faults fault detection
Online Access:	https://www.mdpi.com/1996-1073/16/6/2604

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