المؤلفون: Francesco Cannarile, Michele Compare, Piero Baraldi, Francesco Di Maio, Enrico Zio

المصدر: Machines, Vol 6, Iss 3, p 34 (2018)

مصطلحات موضوعية: hybrid diagnostic system, feature extraction, feature selection, k-nearest neighbors (KNN) classifier, homogeneous continuous-time finite-state hidden semi-Markov model (HCTFSHSMM), maximum likelihood estimation (MLE), differential evolution (DE), Mechanical engineering and machinery, TJ1-1570

وصف الملف: electronic resource

Relation: http://www.mdpi.com/2075-1702/6/3/34; https://doaj.org/toc/2075-1702

URL الوصول: https://doaj.org/article/fa21cac9cbd446be93ce29591e756769

المؤلفون: Piero Baraldi, Francesco Cannarile, Michele Compare, Francesco Di Maio, Enrico Zio

المساهمون: Dipartimento di Energia [Milano] (DENG), Politecnico di Milano [Milan] (POLIMI), Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec (SSEC), Ecole Centrale Paris-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-CentraleSupélec-EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), Laboratoire Génie Industriel - EA 2606 (LGI), CentraleSupélec

المصدر: Machines
Volume 6
Issue 3
Machines, Vol 6, Iss 3, p 34 (2018)
Machines, MDPI, 2018, 6 (3), pp.34. ⟨10.3390/machines6030034⟩

مصطلحات موضوعية: 0209 industrial biotechnology, Work (thermodynamics), Control and Optimization, Computer science, lcsh:Mechanical engineering and machinery, Feature extraction, 0211 other engineering and technologies, Automotive industry, maximum likelihood estimation (MLE), Feature selection, 02 engineering and technology, Markov model, Industrial and Manufacturing Engineering, 020901 industrial engineering & automation, feature selection, Fault Diagnostics, Hidden Semi Markov Model, Computer Science (miscellaneous), lcsh:TJ1-1570, Electrical and Electronic Engineering, Fault Diagnostics, [STAT.AP]Statistics [stat]/Applications [stat.AP], differential evolution (DE), 021103 operations research, business.industry, Mechanical Engineering, feature extraction, homogeneous continuous-time finite-state hidden semi-Markov model (HCTFSHSMM), hybrid diagnostic system, Hidden Semi Markov Model, Control and Systems Engineering, Homogeneous, k-nearest neighbors (KNN) classifier, State (computer science), Hidden semi-Markov model, business, Algorithm

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85a69ff1d23b9e7d45c007823aebcd42
http://hdl.handle.net/11311/1058758

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