Cover
Vol. 25 No. 2 (2025)

Published: December 31, 2025

Pages: 19-29

Original Article

Improving the Enhanced Vold-Kalman Filter to Analyze Vibration in Rotating Machines

Alaa Ayad Jaafar 1 Jaafar K. Alsalaet 1
1 Department of Mechanical Engineering, College of Engineering, University of Basrah, Basrah, Iraq
History
  • Received: December 30, 2024
  • Revised: March 18, 2025
  • Accepted: March 24, 2025
  • Available Online: December 31, 2025
DOI

https://doi.org/10.33971/bjes.25.2.3

Abstract

Vibration analysis is indispensable for different mechanical applications for early fault diagnosis, and many methods are used to analyze signals. Order tracking is one of these methods that is necessary for vibration analysis, especially for rotating machines. One critical and widely used method of order tracking is Vold-Kalman order tracking (VK-OT), which is used to diagnose faults in non-stationary machines. However, it has complicated and intensive calculations, requires special analysis tools, needs large memory, and takes a very long time to extract the results. The proposed method aims to analyze signals by using Vold-Kalman filter order tracking with shorter time and less calculation memory with high accuracy by using partitioning method that separates the signal into many blocks with overlaps. The proposed method achieved less processing time and need much smaller memory than the original Vold-Kalman filter-based methods.

Keywords

References

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