Graciliano Nicolás
Marichal Plasencia
Catedrático de Universidad
Universidad Carlos III de Madrid
Madrid, EspañaPublicaciones en colaboración con investigadores/as de Universidad Carlos III de Madrid (7)
2022
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Data Preprocessing for Vibration Analysis: Application in Indirect Monitoring of ‘Ship Centrifuge Lube Oil Separation Systems’
Journal of Marine Science and Engineering, Vol. 10, Núm. 9
2019
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Wavelet Packets Transform processing and Genetic Neuro-Fuzzy classification to detect faulty bearings
Advances in Mechanical Engineering, Vol. 11, Núm. 8
2018
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Feature extraction from indirect monitoring in marine oil separation systems
Sensors (Switzerland), Vol. 18, Núm. 9
2016
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An artificial intelligence approach for gears diagnostics in AUVs
Sensors (Switzerland), Vol. 16, Núm. 4
2011
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An intelligent system for faulty-bearing detection based on vibration spectra
JVC/Journal of Vibration and Control, Vol. 17, Núm. 6, pp. 931-942
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Extraction of rules for faulty bearing classification by a Neuro-Fuzzy approach
Mechanical Systems and Signal Processing, Vol. 25, Núm. 6, pp. 2073-2082
2010
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An intelligent detection and classification system of faulty bearings
ASME International Mechanical Engineering Congress and Exposition, Proceedings