2011 10th International Conference on Environment and Electrical Engineering 2011
DOI: 10.1109/eeeic.2011.5874723
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Diagnosis & fault detection in wind energy conversion system

Abstract: The current paper presents a technique to localize errors in the Doubly Fed Induction Generator (DFIG) of a Wind Turbine (WT). The method is based on the use of a Generalized Observer Scheme (GOS). It is validated using a numeric simulator, then a real benchmark emulating a wind turbine.

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Cited by 12 publications
(1 citation statement)
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References 14 publications
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“…AE sensors have been used successfully not only in the monitoring of bearings and gearboxes but also for damage detection in blades of a WT as discussed in. Its application is also possible to an in service WT for a real-time rotating blade [13][14][15]. Nondestructive testing techniques using acoustic waves to improve the safety of wind turbine blades are presented, and to enable the assessment of the damage criticality for blades of small WT based on AE data in.…”
Section: Introductionmentioning
confidence: 99%
“…AE sensors have been used successfully not only in the monitoring of bearings and gearboxes but also for damage detection in blades of a WT as discussed in. Its application is also possible to an in service WT for a real-time rotating blade [13][14][15]. Nondestructive testing techniques using acoustic waves to improve the safety of wind turbine blades are presented, and to enable the assessment of the damage criticality for blades of small WT based on AE data in.…”
Section: Introductionmentioning
confidence: 99%