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

Omri Matania, Lior Bachar, Eric Bechhoefer, Jacob Bortman

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Article number454
JournalSensors
Volume24
Issue number2
DOIs
StatePublished - 1 Jan 2024

Keywords

  • condition-based maintenance
  • rotating machines
  • signal processing
  • tutorial
  • vibration

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

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