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Guest Editorial Special Section on Advanced Signal and Image Processing Techniques for Electric Machines and Drives Fault Diagnosis and Prognosis

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Guest Editorial Special Section on Advanced Signal and Image Processing Techniques for Electric Machines and Drives Fault Diagnosis and Prognosis

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Antonino-Daviu, J.; Lee, SB.; Strangas, E. (2017). Guest Editorial Special Section on Advanced Signal and Image Processing Techniques for Electric Machines and Drives Fault Diagnosis and Prognosis. IEEE Transactions on Industrial Informatics. 13(3):1257-1260. doi:10.1109/TII.2017.2690464

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/103513

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Title: Guest Editorial Special Section on Advanced Signal and Image Processing Techniques for Electric Machines and Drives Fault Diagnosis and Prognosis
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Issued date:
Embargo end date: 2018-06-01
Abstract:
[EN] With the expansion of the use of electrical drive sys- tems to more critical applications, the issue of reliability and fault mitigation and condition-based maintenance have consequently taken an increasing importance: ...[+]
Subjects: Feature extraction , Fault diagnosis , Prognostics and health management , Electric machines , Estimation , Sensors , Mathematical model
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Industrial Informatics. (issn: 1551-3203 )
DOI: 10.1109/TII.2017.2690464
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: http://doi.org/10.1109/TII.2017.2690464
Description: © 2017 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertisíng or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Type: Artículo

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