Analysis of Time Domain Active Sensing Data from CX-100 Wind Turbine Blade Fatigue Tests for Damage Assessment

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This paper presents the results obtained using time-series-based methods for structural damage assessment. The methods are applied to a wind turbine blade structure subjected to fatigue loads. A 9m CX-100 (carbon experimental 100kW) blade is harmonically excited at its first natural frequency to introduce a failure mode. Consequently, a through-thickness fatigue crack is visually identified at 8.5million cycles. The time domain data from the piezoelectric active-sensing techniques are measured during the fatigue loadings and used to detect incipient damage. The damage-sensitive features, such as the first four moments and a normality indicator, are extracted from the time domain data. Time series autoregressive models with exogenous inputs are also implemented. These features could efficiently detect a fatigue crack and are less sensitive to operational variations than the other methods.
Publisher
KOREAN SOC NONDESTRUCTIVE TESTING
Issue Date
2016-04
Language
English
Article Type
Article
Citation

JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING, v.36, no.2, pp.93 - 101

ISSN
1225-7842
DOI
10.7779/JKSNT.2016.36.2.93
URI
http://hdl.handle.net/10203/213672
Appears in Collection
AE-Journal Papers(저널논문)
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