Signal Processing for the Condition-Based Maintenance of Rotating Machines via Vibration Analysis: A Tutorial
Author:
Affiliation:
1. BGU-PHM Laboratory, Department of Mechanical Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva 8410501, Israel
2. GPMS International Inc., 93 Pilgrim Place, Waterbury, VT 05676, USA
Abstract
Publisher
MDPI AG
Link
https://www.mdpi.com/1424-8220/24/2/454/pdf
Reference57 articles.
1. A review on machinery diagnostics and prognostics implementing condition-based maintenance;Jardine;Mech. Syst. Signal Process.,2006
2. (2023, November 12). Supporting Materials for “Signal Processing for Condition-Based Maintenance of Rotating Machinery Using Vibrations Analysis: A Tutorial”. Available online: https://github.com/omriMatania/sp_for_cbm_of_rotating_machines_using_vibration_analysis_tutorial.
3. Randall, R.B. (2021). Vibration-Based Condition Monitoring: Industrial, Automotive and Aerospace Applications, WILEY. [2nd ed.]. Available online: https://www.wiley.com/en-us/Vibration+based+Condition+Monitoring%3A+Industrial%2C+Automotive+and+Aerospace+Applications%2C+2nd+Edition-p-9781119477556.
4. Vachtsevanos, G.J., Lewis, F.L., Roemer, M., Hess, A., and Wu, B. (2006). Intelligent Fault Diagnosis and Prognosis for Engineering Systems, WILEY. Available online: https://www.wiley.com/en-us/Intelligent+Fault+Diagnosis+and+Prognosis+for+Engineering+Systems-p-9780471729990.
5. Condition based maintenance of bearings and gears for fault detection—A review;Kumar;Mater. Today Proc.,2018
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