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
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
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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