An EMD-Average Algorithm and its Application in Bearing Fault Diagnostics under Time-Varying Rotational Speed Condition

Author(s)	Dr. Un Sim Ri, Dr. Pong Su Kim, Mr. Il Ung Kim
Country	Korea (North) (Democratic)
Abstract	The load variation causes the change of rotational speed in rotary machines and in this time the fault features of bearing are not periodic. In order to realize a fault diagnostics of bearing, in this paper Empirical Mode Decomposition algorithm based on average of maximum and minimum (EMD-average algorithm) is proposed. First a vibration signal of rotary machine is decomposed into several Intrinsic Mode Functions (IMFs) through EMD-average algorithm. Next Hilbert transform is applied on IMFs to calculate the Instantaneous Rotational Frequency (IRF) of bearing and then the fault characteristics of bearing are detected from IRF. MATLAB simulation and experiment results show that the proposed EMD-average algorithm outperforms than classical EMD algorithm and EMD-midpoint algorithm from the viewpoint of iteration number and frequency decomposition.
Keywords	EMD-Average Algorithm, Fault Diagnostic, Bearing Fault
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-10
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.56634

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