Cost-effective vibration based detection of wind turbine blade icing from sensors mounted on the tower

Wout Weijtjens*, Luis David Avendaño-Valencia, Christof Devriendt, Eleni Chatzi

*Kontaktforfatter for dette arbejde

Publikation: Konferencebidrag uden forlag/tidsskriftPaperForskningpeer review

Resumé

Ice throw from the blades of operational wind turbines is a safety concern when wind turbines are installed in a densely built environment. While several commercial solutions exist to detect icing or prevent ice build up altogether, there is still a desire for a more effective low-cost solution. In this contribution a previously instrumented onshore wind turbine is used to proof the concept of a novel ice detection strategy. In this new approach an accelerometer in the tower is used to infer the presence of icing on the rotor. Two approaches are investigated one based on natural frequencies extracted from operational modal analysis and the second based on Gaussian Process time series models.

OriginalsprogEngelsk
Publikationsdato1. jan. 2018
StatusUdgivet - 1. jan. 2018
Begivenhed9th European Workshop on Structural Health Monitoring, EWSHM 2018 - Manchester, Storbritannien
Varighed: 10. jul. 201813. jul. 2018

Konference

Konference9th European Workshop on Structural Health Monitoring, EWSHM 2018
LandStorbritannien
ByManchester
Periode10/07/201813/07/2018

Fingeraftryk

Wind turbines
Towers
Turbomachine blades
Ice
Sensors
Costs
Modal analysis
Accelerometers
Time series
Natural frequencies
Rotors

Citer dette

Weijtjens, W., Avendaño-Valencia, L. D., Devriendt, C., & Chatzi, E. (2018). Cost-effective vibration based detection of wind turbine blade icing from sensors mounted on the tower. Afhandling præsenteret på 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, Storbritannien.
Weijtjens, Wout ; Avendaño-Valencia, Luis David ; Devriendt, Christof ; Chatzi, Eleni. / Cost-effective vibration based detection of wind turbine blade icing from sensors mounted on the tower. Afhandling præsenteret på 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, Storbritannien.
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Weijtjens, W, Avendaño-Valencia, LD, Devriendt, C & Chatzi, E 2018, 'Cost-effective vibration based detection of wind turbine blade icing from sensors mounted on the tower' Paper fremlagt ved 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, Storbritannien, 10/07/2018 - 13/07/2018, .

Cost-effective vibration based detection of wind turbine blade icing from sensors mounted on the tower. / Weijtjens, Wout; Avendaño-Valencia, Luis David; Devriendt, Christof; Chatzi, Eleni.

2018. Afhandling præsenteret på 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, Storbritannien.

Publikation: Konferencebidrag uden forlag/tidsskriftPaperForskningpeer review

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AB - Ice throw from the blades of operational wind turbines is a safety concern when wind turbines are installed in a densely built environment. While several commercial solutions exist to detect icing or prevent ice build up altogether, there is still a desire for a more effective low-cost solution. In this contribution a previously instrumented onshore wind turbine is used to proof the concept of a novel ice detection strategy. In this new approach an accelerometer in the tower is used to infer the presence of icing on the rotor. Two approaches are investigated one based on natural frequencies extracted from operational modal analysis and the second based on Gaussian Process time series models.

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Weijtjens W, Avendaño-Valencia LD, Devriendt C, Chatzi E. Cost-effective vibration based detection of wind turbine blade icing from sensors mounted on the tower. 2018. Afhandling præsenteret på 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, Storbritannien.