articleTop 1% cited
Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing
Mechanical Systems and Signal Processing · 2006 · Vol. 21(2) · pp. 930–942
V. Sugumaran✉(Amrita Vishwa Vidyapeetham)V.S. Muralidharan(Amrita Vishwa Vidyapeetham)K.I. Ramachandran(Amrita Vishwa Vidyapeetham)
Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisFault Detection and Control SystemsSupport vector machinePattern recognition (psychology)Bearing (navigation)KurtosisDecision treeArtificial intelligenceFeature selectionEngineeringFault (geology)Vibration
Funding
- Amrita Vishwa Vidyapeetham University
Citations
450
FWCI
23.90
field-weighted impact
References
15
Percentile
100%
vs. same field & year
Citations per year
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References
ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROLLING ELEMENT BEARINGS USING TIME-DOMAIN FEATURES
Mechanical Systems and Signal Processing · 2003 · 739 citations
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