A comparison of two Kalman-type filters for robust extrapolation of offshore wind turbine support structure response

K. Tatsis; Eliz-Mari Lourens

doi:10.1201/9781315375175-25

A comparison of two Kalman-type filters for robust extrapolation of offshore wind turbine support structure response

Offshore Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Quasi-periodic loading resulting from waves and a rotationally sampled wind field often leads to fatiguedriven designs for offshore wind turbine support structures. The uncertainty on wind and wave loading, together with large modelling uncertainties, lead to large discrepancies between the observed and predicted dynamic behaviour of these structures. Among many recent-developed techniques for monitoring of true fatigue damage development, two promising Kalman-type filters are compared, namely the recently proposed Dual Kalman filter (DKF) and the Gillijns and De Moor filter (GDF). The filters are applied to synthetic vibration data in order to predict the global response of a lattice support structure assuming large modelling uncertainties and no knowledge of the input forces. A critical assessment of both filters
with regard to requirements on the available data and tuning of the filter parameters is presented.

Original language	English
Title of host publication	Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure
Subtitle of host publication	Proceedings of the 5th International Symposium on Life-Cycle Engineering, Delft, Netherlands
Editors	Jaap Bakker, Dan M. Frangopol, Klaas van Breugel
Publisher	Taylor and Francis
Pages	209–216
ISBN (Electronic)	978-1-4987-7701-8
ISBN (Print)	978-1-138-02847-0
DOIs	https://doi.org/10.1201/9781315375175-25
Publication status	Published - 2016
Event	5th International Symposium on Life-Cycle Engineering: Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure - Delft, Netherlands Duration: 16 Oct 2016 → 20 Oct 2016 Conference number: 5 http://www.ialcce2016.org/

Publication series

Name	Life-Cycle of Civil Engineering Systems
Publisher	CRC Press

Conference

Conference	5th International Symposium on Life-Cycle Engineering
Abbreviated title	IALCCE 2016
Country/Territory	Netherlands
City	Delft
Period	16/10/16 → 20/10/16
Internet address	http://www.ialcce2016.org/

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10.1201/9781315375175-25

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Tatsis, K., & Lourens, E-M. (2016). A comparison of two Kalman-type filters for robust extrapolation of offshore wind turbine support structure response. In J. Bakker, D. M. Frangopol, & K. van Breugel (Eds.), Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure: Proceedings of the 5th International Symposium on Life-Cycle Engineering, Delft, Netherlands (pp. 209–216). (Life-Cycle of Civil Engineering Systems). Taylor and Francis. https://doi.org/10.1201/9781315375175-25

Tatsis, K. ; Lourens, Eliz-Mari. / A comparison of two Kalman-type filters for robust extrapolation of offshore wind turbine support structure response. Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure: Proceedings of the 5th International Symposium on Life-Cycle Engineering, Delft, Netherlands. editor / Jaap Bakker ; Dan M. Frangopol ; Klaas van Breugel. Taylor and Francis, 2016. pp. 209–216 (Life-Cycle of Civil Engineering Systems).

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abstract = "Quasi-periodic loading resulting from waves and a rotationally sampled wind field often leads to fatiguedriven designs for offshore wind turbine support structures. The uncertainty on wind and wave loading, together with large modelling uncertainties, lead to large discrepancies between the observed and predicted dynamic behaviour of these structures. Among many recent-developed techniques for monitoring of true fatigue damage development, two promising Kalman-type filters are compared, namely the recently proposed Dual Kalman filter (DKF) and the Gillijns and De Moor filter (GDF). The filters are applied to synthetic vibration data in order to predict the global response of a lattice support structure assuming large modelling uncertainties and no knowledge of the input forces. A critical assessment of both filterswith regard to requirements on the available data and tuning of the filter parameters is presented.",

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Tatsis, K & Lourens, E-M 2016, A comparison of two Kalman-type filters for robust extrapolation of offshore wind turbine support structure response. in J Bakker, DM Frangopol & K van Breugel (eds), Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure: Proceedings of the 5th International Symposium on Life-Cycle Engineering, Delft, Netherlands. Life-Cycle of Civil Engineering Systems, Taylor and Francis, pp. 209–216, 5th International Symposium on Life-Cycle Engineering, Delft, Netherlands, 16/10/16. https://doi.org/10.1201/9781315375175-25

A comparison of two Kalman-type filters for robust extrapolation of offshore wind turbine support structure response. / Tatsis, K.; Lourens, Eliz-Mari.

Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure: Proceedings of the 5th International Symposium on Life-Cycle Engineering, Delft, Netherlands. ed. / Jaap Bakker; Dan M. Frangopol; Klaas van Breugel. Taylor and Francis, 2016. p. 209–216 (Life-Cycle of Civil Engineering Systems).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - Quasi-periodic loading resulting from waves and a rotationally sampled wind field often leads to fatiguedriven designs for offshore wind turbine support structures. The uncertainty on wind and wave loading, together with large modelling uncertainties, lead to large discrepancies between the observed and predicted dynamic behaviour of these structures. Among many recent-developed techniques for monitoring of true fatigue damage development, two promising Kalman-type filters are compared, namely the recently proposed Dual Kalman filter (DKF) and the Gillijns and De Moor filter (GDF). The filters are applied to synthetic vibration data in order to predict the global response of a lattice support structure assuming large modelling uncertainties and no knowledge of the input forces. A critical assessment of both filterswith regard to requirements on the available data and tuning of the filter parameters is presented.

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Tatsis K, Lourens E-M. A comparison of two Kalman-type filters for robust extrapolation of offshore wind turbine support structure response. In Bakker J, Frangopol DM, van Breugel K, editors, Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure: Proceedings of the 5th International Symposium on Life-Cycle Engineering, Delft, Netherlands. Taylor and Francis. 2016. p. 209–216. (Life-Cycle of Civil Engineering Systems). https://doi.org/10.1201/9781315375175-25

A comparison of two Kalman-type filters for robust extrapolation of offshore wind turbine support structure response

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