A benchmark of measurement approaches to track the natural evolution of spall severity in rolling element bearings

Author:

Zhang Hengcheng,Borghesani Pietro,Randall Robert B.,Peng Zhongxiao

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference67 articles.

1. Vibration-based Condition Monitoring;Randall,2011

2. Rolling element bearing diagnostics-A tutorial;Randall;Mech. Syst. Signal Process.,2011

3. A review on data-driven fault severity assessment in rolling bearings;Cerrada;Mech. Syst. Signal Process.,2018

4. ISO, “ISO 15243: Rolling bearing - Damage and failures — Terms , characteristics and,” 2017.

5. J. Lee, H. Qiu, G. Yu, and J. Lin, “Bearing data set,” IMS, University of Cincinnati, NASA Ames Prognostics Data Repository, Rexnord Technical Services, 2007. http://ti.arc.nasa.gov/project/prognostic-data-repository.

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