articleTop 1% cited
Gear fault detection using artificial neural networks and support vector machines with genetic algorithms
Mechanical Systems and Signal Processing · 2003 · Vol. 18(3) · pp. 625–644
B. Samanta✉(Sultan Qaboos University)
Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisSpectroscopy and Chemometric AnalysesSupport vector machineArtificial intelligenceArtificial neural networkPattern recognition (psychology)Genetic algorithmComputer scienceClassifier (UML)Feature selectionRadial basis functionVibration
Citations
505
FWCI
24.55
field-weighted impact
References
32
Percentile
100%
vs. same field & year
Citations per year
Cited by
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
Mechanical Systems and Signal Processing · 2013 · 1,485 citations
Artificial intelligence for fault diagnosis of rotating machinery: A review
Mechanical Systems and Signal Processing · 2018 · 2,047 citations
Applications of machine learning to machine fault diagnosis: A review and roadmap
Mechanical Systems and Signal Processing · 2020 · 2,563 citations
Support vector machine in machine condition monitoring and fault diagnosis
Mechanical Systems and Signal Processing · 2007 · 1,551 citations
Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
Mechanical Systems and Signal Processing · 2020 · 569 citations
References
Neural networks for pattern recognition
Choice Reviews Online · 1994 · 18,690 citations
ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROLLING ELEMENT BEARINGS USING TIME-DOMAIN FEATURES
Mechanical Systems and Signal Processing · 2003 · 739 citations
An overview of statistical learning theory
IEEE Transactions on Neural Networks · 1999 · 6,176 citations
Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49,283 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
