articleTop 1% cited
A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing
Neurocomputing · 2018 · Vol. 313 · pp. 47–64
Xiaoan Yan(Southeast University)Minping Jia✉(Southeast University)
Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisEngineering Diagnostics and ReliabilityComputer scienceFeature extractionSupport vector machineFault (geology)Pattern recognition (psychology)Particle swarm optimizationArtificial intelligenceClassifier (UML)Bearing (navigation)Feature (linguistics)
Funding
- Case Western Reserve University
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Fundamental Research Funds for the Central Universities
Citations
490
FWCI
38.16
field-weighted impact
References
58
Percentile
100%
vs. same field & year
Citations per year
Cited by
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References
A roller bearing fault diagnosis method based on EMD energy entropy and ANN
Journal of Sound and Vibration · 2005 · 554 citations
Variational Mode Decomposition
IEEE Transactions on Signal Processing · 2014 · 8,281 citations
Permutation Entropy: A Natural Complexity Measure for Time Series
Physical Review Letters · 2002 · 4,663 citations
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2005 · 10,286 citations
Support vector machines for spam categorization
IEEE Transactions on Neural Networks · 1999 · 1,463 citations
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