- -

Improved Resolution of the MCSA Method Via Hilbert Transform, Enabling the Diagnosis of Rotor Asymmetries at Very Low Slip

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Improved Resolution of the MCSA Method Via Hilbert Transform, Enabling the Diagnosis of Rotor Asymmetries at Very Low Slip

Show full item record

Puche-Panadero, R.; Pineda-Sanchez, M.; Riera-Guasp, M.; Roger-Folch, J.; Hurtado-Perez, E.; Pérez-Cruz, J. (2009). Improved Resolution of the MCSA Method Via Hilbert Transform, Enabling the Diagnosis of Rotor Asymmetries at Very Low Slip. IEEE Transactions on Energy Conversion. 24(1):52-59. doi:10.1109/TEC.2008.2003207

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/103503

Files in this item

Item Metadata

Title: Improved Resolution of the MCSA Method Via Hilbert Transform, Enabling the Diagnosis of Rotor Asymmetries at Very Low Slip
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Issued date:
Abstract:
[EN] This paper proposes an online/offline induction motor current signature analysis (MCSA) with advanced signal-and-data-processing algorithms, based on the Hilbert transform. MCSA is a method for motor diagnosis with ...[+]
Subjects: Discrete Hilbert transforms , Fault diagnosis , Induction motors , Signal analysis
Copyrigths: Cerrado
Source:
IEEE Transactions on Energy Conversion. (issn: 0885-8969 )
DOI: 10.1109/TEC.2008.2003207
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: http://doi.org/10.1109/TEC.2008.2003207
Project ID: info:eu-repo/grantAgreement/EC/FP7/224233/EU
Thanks:
This work was supported in part by European Community's Seventh Framework Program FP7/2007-2013 under Grant Agreement 224233 (Research Project PRODI "Power plant Robustification based on fault Detection and Isolation ...[+]
Type: Artículo

This item appears in the following Collection(s)

Show full item record