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Support vector machine classifier for diagnosis in electrical machines: Application to broken bar

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Support vector machine classifier for diagnosis in electrical machines: Application to broken bar

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Matic, D.; Kulic, F.; Pineda Sánchez, M.; Kamenko, I. (2012). Support vector machine classifier for diagnosis in electrical machines: Application to broken bar. Expert Systems with Applications. 39(10):8681-8689. doi:10.1016/j.eswa.2012.01.214

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/59639

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Title: Support vector machine classifier for diagnosis in electrical machines: Application to broken bar
Author:
UPV Unit: Universitat Politècnica de València. Instituto de Ingeniería Energética - Institut d'Enginyeria Energètica
Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Issued date:
Abstract:
[EN] This paper presents a support vector machine classifier for broken bar detection in electrical induction machine. It is a reliable online method, which has high robustness to load variations and changing operating ...[+]
Subjects: Broken bar , Fault detection , Support vector machines , Induction motor
Copyrigths: Cerrado
Source:
Expert Systems with Applications. (issn: 0957-4174 )
DOI: 10.1016/j.eswa.2012.01.214
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.eswa.2012.01.214
Project ID: info:eu-repo/grantAgreement/EC/FP7/224233
Thanks:
This paper is produced as a result of work on FP7 project for area of information and communication technologies named "PRODI - Power plants Robustification based on fault Detection and Isolation algorithms" contract number ...[+]
Type: Artículo

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