Practical scheme for fast detection and classification of rolling-element bearing faults using support vector machines
- Author
- ROJAS, Alfonso1 ; NANDI, Asoke K1
[1] Signal Processing and Communications Group, Department of Electrical Engineering and Electronics, The University of Liverpool, United Kingdom - Source
Mechanical systems and signal processing. 2006, Vol 20, Num 7, pp 1523-1536, 14 p ; ref : 17 ref
- ISSN
- 0888-3270
- Scientific domain
- Control theory, operational research; Mechanics acoustics
- Publisher
- Elsevier, London
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Condition monitoring Support vector machines
- Keyword (fr)
- Classification Machine exemple support Mesure Monitorage Optimisation Palier roulement Traitement signal Vibration
- Keyword (en)
- Classification Vector support machine Measurement Monitoring Optimization Rolling bearing Signal processing Vibration
- Keyword (es)
- Clasificación Máquina ejemplo soporte Medida Monitoreo Optimización Cojinete rodillos Procesamiento señal Vibración
- Classification
- Pascal
- 001 Exact sciences and technology / 001B Physics / 001B40 Fundamental areas of phenomenology (including applications) / 001B40F Solid mechanics / 001B40F30 Structural and continuum mechanics / 001B40F30R Measurement and testing methods
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D12 Mechanical engineering. Machine design / 001D12E Drives / 001D12E03 Bearings, bushings, rolling bearings
- Discipline
- Mechanical engineering. Mechanical construction. Handling Physics : solid mechanics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 17799436
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.ymssp.2005.05.002 
https://dx.doi.org/10.1016/j.ymssp.2005.05.002
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