articleTop 1% cited
ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROLLING ELEMENT BEARINGS USING TIME-DOMAIN FEATURES
Mechanical Systems and Signal Processing · 2003 · Vol. 17(2) · pp. 317–328
B. Samanta✉(Sultan Qaboos University)K. R. Al-Balushi(Sultan Qaboos University)
Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisFault Detection and Control SystemsArtificial neural networkTime domainPerceptronBackpropagationPattern recognition (psychology)Fault (geology)VibrationKurtosisRolling-element bearingFrequency domain
Funding
- Technische Universiteit Delft
Citations
739
FWCI
28.64
field-weighted impact
References
16
Percentile
100%
vs. same field & year
Citations per year
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References
OPTIMISATION OF BEARING DIAGNOSTIC TECHNIQUES USING SIMULATED AND ACTUAL BEARING FAULT SIGNALS
Mechanical Systems and Signal Processing · 2000 · 504 citations
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