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Comparative Evaluation of Classification Methods Used in the Fault Diagnosis of Industrial Processes

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Comparative Evaluation of Classification Methods Used in the Fault Diagnosis of Industrial Processes

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Moreno, A.; Santiago, OL.; De Lázaro, JMB.; García Moreno, E. (2013). Comparative Evaluation of Classification Methods Used in the Fault Diagnosis of Industrial Processes. IEEE Latin America Transactions. 11(2):682-689. doi:10.1109/TLA.2013.6533955

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/51159

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Title: Comparative Evaluation of Classification Methods Used in the Fault Diagnosis of Industrial Processes
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
This article presents a comparative study of the performance of classification techniques used for fault diagnosis in industrial processes. The techniques studied ranging from classifiers based on Bayes theory as Maximum ...[+]
Subjects: Industrial processes , Fault diagnosis , Support vector machines , Artificial neural networks , Partial least squares , Nearest neighbors classifier , MAP classifier
Copyrigths: Cerrado
Source:
IEEE Latin America Transactions. (issn: 1548-0992 )
DOI: 10.1109/TLA.2013.6533955
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Publisher version: http://dx.doi.org/10.1109/TLA.2013.6533955
Type: Artículo

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