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A review on data-driven fault severity assessment in rolling bearings

2017689 citationsReview

Authors

Mariela Cerrada · University of the Andes

René–Vinicio Sánchez · Politecnica Salesiana University

Chuan Li · Chongqing Technology and Business University

Fannia Pacheco · Université de Pau et des Pays de l'Adour

Diego Cabrera · Politecnica Salesiana University

José Valente de Oliveira · University of Algarve

Rafael E. Vásquez

Topics & Keywords

Machine Fault Diagnosis Techniques Gear and Bearing Dynamics Analysis Engineering Diagnostics and Reliability

UN Sustainable Development Goals

Peace, Justice and strong institutions

Publication Details

Published in: Mechanical Systems and Signal Processing

Volume 99, pp. 169-196

DOI: 10.1016/j.ymssp.2017.06.012

Field-Weighted Citation Impact: 40.06

A review on data-driven fault severity assessment in rolling bearings | Researchclopedia

· Universidad Pontificia Bolivariana