Damage detection of wind turbine supporting structures using an improved harmony search algorithm

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Original languageEnglish
Pages (from-to)87-92
Number of pages6
JournalVibroengineering Procedia
Volume6
Publication statusPublished - 1 Oct 2015
EventInternational Conference on Vibroengineering - 2015 - Katowice, Poland
Duration: 14 Oct 201515 Oct 2015

Abstract

Offshore Wind Energy Conversion Devices (OWECDs) are sensitive structures subjected to high force fluctuations making them prone to damage and present a challenge for in-situ structural identification due to the rough environment of offshore locations. Thus a remote identification and damage detection technique is required to keep track of any significant changes to the structural parameters of the OWECD. It is intended to present a structural identification and damage detection scheme using a Modified Adaptive Harmony Search coupled with a Modified Search Space Reduction Method (MAHS-MSSRM) to determine the structural stiffness of a damaged supporting structure of a numerically modeled OWECD based on its vibration response. The studied OWECD is an idling baseline 5-MW reference wind turbine developed by the National Renewable Energy Laboratory (NREL) identified under varying degrees of noise and different sensor configurations. The resulting identification accuracy and robustness were satisfying and encourage further investigation of the identification scheme with multiple damage locations, smaller damage values and unaligned inflow winds.

Keywords

    Damage detection, Fast, Harmony search, Identification, Offshore, Wind turbine

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Damage detection of wind turbine supporting structures using an improved harmony search algorithm. / Jahjouh, Mahmoud M.; Nackenhorst, Udo.
In: Vibroengineering Procedia, Vol. 6, 01.10.2015, p. 87-92.

Research output: Contribution to journalConference articleResearchpeer review

Jahjouh, Mahmoud M. ; Nackenhorst, Udo. / Damage detection of wind turbine supporting structures using an improved harmony search algorithm. In: Vibroengineering Procedia. 2015 ; Vol. 6. pp. 87-92.
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abstract = "Offshore Wind Energy Conversion Devices (OWECDs) are sensitive structures subjected to high force fluctuations making them prone to damage and present a challenge for in-situ structural identification due to the rough environment of offshore locations. Thus a remote identification and damage detection technique is required to keep track of any significant changes to the structural parameters of the OWECD. It is intended to present a structural identification and damage detection scheme using a Modified Adaptive Harmony Search coupled with a Modified Search Space Reduction Method (MAHS-MSSRM) to determine the structural stiffness of a damaged supporting structure of a numerically modeled OWECD based on its vibration response. The studied OWECD is an idling baseline 5-MW reference wind turbine developed by the National Renewable Energy Laboratory (NREL) identified under varying degrees of noise and different sensor configurations. The resulting identification accuracy and robustness were satisfying and encourage further investigation of the identification scheme with multiple damage locations, smaller damage values and unaligned inflow winds.",
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Download

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AU - Jahjouh, Mahmoud M.

AU - Nackenhorst, Udo

N1 - Publisher Copyright: © JVE International Ltd.

PY - 2015/10/1

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N2 - Offshore Wind Energy Conversion Devices (OWECDs) are sensitive structures subjected to high force fluctuations making them prone to damage and present a challenge for in-situ structural identification due to the rough environment of offshore locations. Thus a remote identification and damage detection technique is required to keep track of any significant changes to the structural parameters of the OWECD. It is intended to present a structural identification and damage detection scheme using a Modified Adaptive Harmony Search coupled with a Modified Search Space Reduction Method (MAHS-MSSRM) to determine the structural stiffness of a damaged supporting structure of a numerically modeled OWECD based on its vibration response. The studied OWECD is an idling baseline 5-MW reference wind turbine developed by the National Renewable Energy Laboratory (NREL) identified under varying degrees of noise and different sensor configurations. The resulting identification accuracy and robustness were satisfying and encourage further investigation of the identification scheme with multiple damage locations, smaller damage values and unaligned inflow winds.

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