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Signal Processing for the Condition-Based Maintenance of Rotating Machines via Vibration Analysis: A Tutorial.
Omri Matania1, Lior Bachar1, Eric Bechhoefer2
1BGU-PHM Laboratory, Department of Mechanical Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva 8410501, Israel.
Sensors (Basel, Switzerland)
|January 23, 2024
Summary
This tutorial explains vibration analysis for condition-based maintenance of rotating machinery. It provides practical signal processing methods with code examples for easier learning.
Area of Science:
- Engineering
- Mechanical Engineering
- Signal Processing
Background:
- Condition-based maintenance (CBM) is crucial for rotating machinery.
- Vibration analysis is a common CBM technique.
- Understanding physical behavior is key to effective analysis.
Purpose of the Study:
- To provide a practical tutorial on vibration analysis for CBM.
- To explain important signal processing methods in vibration analysis.
- To enable individuals with signal processing backgrounds to learn CBM principles.
Main Methods:
- Signal processing techniques for vibration analysis.
- Methods based on understanding component physical behavior.
- Demonstration using Python and MATLAB code examples.
- Explanatory videos accompanying the tutorial.
Main Results:
- Provides a clear understanding of vibration analysis principles.
- Offers practical code examples for implementing methods.
- Facilitates learning of CBM for rotating machinery.
Conclusions:
- Vibration analysis is an effective method for CBM.
- This tutorial serves as a valuable resource for learning practical CBM techniques.
- The provided resources enhance the learning experience for condition-based maintenance.
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