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Journal ArticleDOI

Fatigue assessment of offshore wind turbines on monopile foundations using multi-band modal expansion

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This article is published in Wind Energy.The article was published on 2017-08-01. It has received 54 citations till now. The article focuses on the topics: Offshore wind power.

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Citations
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Expansion of experimental mode shape from operational modal analysis and virtual sensing for fatigue analysis using the modal expansion method

TL;DR: A new quality measurement is introduced – the normalised error of fatigue damage – for strain estimation intended for fatigue analysis and, based on this study, expansion of experimental mode shapes has the potential to reduce errors in stress/strain estimation.
Journal ArticleDOI

PtSe2 grown directly on polymer foil for use as a robust piezoresistive sensor

TL;DR: In this article, the influence of the growth temperature and film thickness on the electromechanical properties of the PtSealt;subagt;2alt; 2alt;/subagts; layers is investigated.
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Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment

TL;DR: In this article, the authors used fatigue analysis to accurately estimate the fatigue of civil structures during their life span, and found that many of the civil structures experience significant vibrations and repeated stress cycles during their lifetime.
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Estimation of the full-field dynamic response of a floating bridge using Kalman-type filtering algorithms

TL;DR: A case study of full-field dynamic response estimation of a long-span floating bridge: the Bergoysund Bridge in Norway is presented, demonstrating that the displacements and the accelerations can be estimated at unmeasured locations with reasonable accuracy when the wave loads are the dominant source of excitation.
References
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Journal ArticleDOI

Wind turbine condition monitoring: technical and commercial challenges

TL;DR: In this paper, the authors present the wind industry with a detailed analysis of the current practical challenges with existing wind turbine condition monitoring technology, in particular, reliability and value for money.
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An augmented Kalman filter for force identification in structural dynamics

TL;DR: It is shown how, in the collocated case, more accurate results can be obtained with the augmented filter due to its incorporation of modeling errors, while better solutions are produced by classical deterministic methods as Dynamic Programming in which only the forces are estimated, and not the states as well.
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A dual Kalman filter approach for state estimation via output-only acceleration measurements

TL;DR: In this article, a dual implementation of the Kalman filter for estimating the unknown input and states of a linear state-space model by using sparse noisy acceleration measurements is proposed, which avoids numerical issues attributed to unobservability and rank deficiency of the augmented formulation of the problem.
Journal ArticleDOI

Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors

TL;DR: In this article, an algorithm is presented for jointly estimating the input and state of a structure from a limited number of acceleration measurements, based on an existing joint input-state estimation filter derived using linear minimum-variance unbiased estimation.
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