Signal Processing for the Condition-Based Maintenance of Rotating Machines via Vibration Analysis: A Tutorial.

Autor: Matania O; BGU-PHM Laboratory, Department of Mechanical Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva 8410501, Israel., Bachar L; BGU-PHM Laboratory, Department of Mechanical Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva 8410501, Israel., Bechhoefer E; GPMS International Inc., 93 Pilgrim Place, Waterbury, VT 05676, USA., Bortman J; BGU-PHM Laboratory, Department of Mechanical Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva 8410501, Israel.
Jazyk: angličtina
Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Jan 11; Vol. 24 (2). Date of Electronic Publication: 2024 Jan 11.
DOI: 10.3390/s24020454
Abstrakt: One of the common methods for implementing the condition-based maintenance of rotating machinery is vibration analysis. This tutorial describes some of the important signal processing methods existing in the field, which are based on a profound understanding of the component's physical behavior. Furthermore, this tutorial provides Python and MATLAB code examples to demonstrate these methods alongside explanatory videos. The goal of this article is to serve as a practical tutorial, enabling interested individuals with a background in signal processing to quickly learn the important principles of condition-based maintenance of rotating machinery using vibration analysis.
Databáze: MEDLINE
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