Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors
Top Cited Papers
- 28 February 2007
- journal article
- Published by Elsevier BV in Expert Systems with Applications
- Vol. 32 (2), 299-312
- https://doi.org/10.1016/j.eswa.2005.11.031
Abstract
No abstract availableThis publication has 25 references indexed in Scilit:
- A support vector machine approach to classify human cytochrome P450 3A4 inhibitorsJournal of Computer-Aided Molecular Design, 2005
- A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machineNeurocomputing, 2003
- Comparison of machine learning and traditional classifiers in glaucoma diagnosisIEEE Transactions on Biomedical Engineering, 2002
- A comparison of methods for multiclass support vector machinesIEEE Transactions on Neural Networks, 2002
- FAULT DETECTION USING SUPPORT VECTOR MACHINES AND ARTIFICIAL NEURAL NETWORKS, AUGMENTED BY GENETIC ALGORITHMSMechanical Systems and Signal Processing, 2002
- Independent component analysis: algorithms and applicationsNeural Networks, 2000
- Fast and robust fixed-point algorithms for independent component analysisIEEE Transactions on Neural Networks, 1999
- Blind Source Separation of Multiple Signal Sources of fMRI Data Sets Using Independent Component AnalysisJournal of Computer Assisted Tomography, 1999
- Blind signal separation: statistical principlesProceedings of the IEEE, 1998
- A First Application of Independent Component Analysis to Extracting Structure from Stock ReturnsInternational Journal of Neural Systems, 1997