reviewTop 1% cited
A review on data-driven fault severity assessment in rolling bearings
Mechanical Systems and Signal Processing · 2017 · Vol. 99 · pp. 169–196
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(Universidad Pontificia Bolivariana)
Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisEngineering Diagnostics and ReliabilityFault (geology)Reliability engineeringBearing (navigation)EngineeringReliability (semiconductor)Fault detection and isolationComputer scienceArtificial intelligenceActuator
Citations
689
FWCI
40.11
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References
239
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100%
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Cited by
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References
Rolling element bearing diagnostics—A tutorial
Mechanical Systems and Signal Processing · 2010 · 2,459 citations
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Mechanical Systems and Signal Processing · 2012 · 1,779 citations
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Mechanical Systems and Signal Processing · 2013 · 1,485 citations
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Mechanical Systems and Signal Processing · 2005 · 4,389 citations
Rotating machinery prognostics: State of the art, challenges and opportunities
Mechanical Systems and Signal Processing · 2008 · 1,161 citations
Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings
Mechanical Systems and Signal Processing · 2015 · 548 citations
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