Damage Diagnosis for Wind Turbine Blades Based on the Shifting Distance of Characteristic Frequency

Wind turbine blades are the key component of wind turbine. The blades may be damaged by fatigue, wind gusts, or lightening strikes. It is important to detect the damage before the blade catastrophically fails, which could destroy the entire wind turbine. In this paper, a new method is presented for...

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Bibliographic Details
Published in2009 2nd International Congress on Image and Signal Processing pp. 1 - 3
Main Authors Zhiqiang Wang, Yuxiu Xu, Yuanying Mei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Blades
Fatigue
Monitoring
Pattern recognition
Poles and towers
Resonance
Resonant frequency
Sea measurements
Vibration measurement
Wind turbines
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ISBN1424441293
9781424441297
DOI10.1109/CISP.2009.5303648

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Summary:Wind turbine blades are the key component of wind turbine. The blades may be damaged by fatigue, wind gusts, or lightening strikes. It is important to detect the damage before the blade catastrophically fails, which could destroy the entire wind turbine. In this paper, a new method is presented for damage diagnosis on wind turbine blades which is developed based on the distance classification rules in pattern recognition. The states of the blades can be identified by measuring the vibration response of one fixed point on the turbine. The blade fault can be therefore determined according to the shifting distance of characteristic frequency in the signal. The results of these studies show that the method can be applied in engineering practice as well as developing a process for structural health monitoring techniques for wind turbine blades.
ISBN:1424441293
9781424441297
DOI:10.1109/CISP.2009.5303648