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Energies 2018, 11(4), 960; doi:10.3390/en11040960

Current Signature and Vibration Analyses to Diagnose an In-Service Wind Turbine Drive Train

1
Renewable Energy Research Institute (IIER) and DIEEAC-EDII-AB, University of Castilla—La Mancha, 02071 Albacete, Spain
2
Department of Electric & Electronic Engineering, University of Strathclyde, Glasgow G11XV, UK
*
Author to whom correspondence should be addressed.
Received: 26 March 2018 / Revised: 12 April 2018 / Accepted: 12 April 2018 / Published: 17 April 2018
(This article belongs to the Section Sustainable Energy)
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Abstract

The goal of the present paper is to achieve the diagnosis of an in-service 1.5 MW wind turbine equipped with a doubly-fed induction generator through current signature and vibration analyses. Real data from operating machines have rarely been analysed in the scientific literature through current signature analysis supported by vibrations. The wind turbine under study was originally misdiagnosed by the operator, where a healthy component was replaced and the actual failure continued progressing. The chronological evolution of both the electrical current and vibration spectra is presented to conduct an in-depth tracking of the fault. The diagnosis is achieved through spectral analysis of the stator currents, where fault frequency components related to rotor mechanical unbalance are identified. This is confirmed by the vibration analysis, which provides insightful information on the health of the drive train. These results can be implemented in condition monitoring strategies, which is of great interest to optimise operation and maintenance costs of wind farms. View Full-Text
Keywords: condition monitoring; current signature analysis; doubly-fed induction generator; gearbox; vibration analysis condition monitoring; current signature analysis; doubly-fed induction generator; gearbox; vibration analysis
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Artigao, E.; Koukoura, S.; Honrubia-Escribano, A.; Carroll, J.; McDonald, A.; Gómez-Lázaro, E. Current Signature and Vibration Analyses to Diagnose an In-Service Wind Turbine Drive Train. Energies 2018, 11, 960.

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