On the influence of environmental and operational variability on modal parameters of offshore wind support structures

Augustyn, Dawid Jakub; Cosack, Nicolai; Ulriksen, Martin Dalgaard

doi:10.1016/j.marstruc.2022.103185

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…(a) The presented fault detection results are obtained from the measurements in a short period, while the long-term performance of such OCM systems needs further studies. Environmental and operational variables (EOVs) can hide the damage effects in the extracted features by changing the excitation amplitude or stiffness changes [41].…”

Section: Fault Detectionmentioning

confidence: 99%

Online Condition Monitoring of Rotating Machines by Self-Powered Piezoelectric Transducer from Real-Time Experimental Investigations

Khazaee

Rosendahl

Rezaniakolaei

2022

Sensors

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This paper investigates self-powering online condition monitoring for rotating machines by the piezoelectric transducer as an energy harvester and sensor. The method is devised for real-time working motors and relies on self-powered wireless data transfer where the data comes from the piezoelectric transducer’s output. Energy harvesting by Piezoceramic is studied under real-time motor excitations, followed by power optimization schemes. The maximum power and root mean square power generation from the motor excitation are 13.43 mW/g2 and 5.9 mW/g2, which can be enough for providing autonomous wireless data transfer. The piezoelectric transducer sensitivity to the fault is experimentally investigated, showing the considerable fault sensitivity of piezoelectric transducer output to the fault. For instance, the piezoelectric transducer output under a shaft-misalignment fault is more than 200% higher than the healthy working conditions. This outcome indicates that the monitoring of rotating machines can be achieved by using a self-powered system of the piezoelectric harvesters. Finally, a discussion on the feasible self-powered online condition monitoring is presented.

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Section: Fault Detectionmentioning

confidence: 99%

Online Condition Monitoring of Rotating Machines by Self-Powered Piezoelectric Transducer from Real-Time Experimental Investigations

Khazaee

Rosendahl

Rezaniakolaei

2022

Sensors

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“…The wind turbine model was originally developed for industrial purposes, where it was applied in commercial projects. A rather similar model (albeit a 5 MW turbine instead of 7 MW), which adheres to the same modeling principles, has been applied in other studies on structural dynamics of wind turbines [34,66].…”

Section: Wind Turbinementioning

confidence: 99%

Reliability Updating of Offshore Wind Substructures by Use of Digital Twin Information

2021

Self Cite

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This paper presents a probabilistic framework for updating the structural reliability of offshore wind turbine substructures based on digital twin information. In particular, the information obtained from digital twins is used to quantify and update the uncertainties associated with the structural dynamics and load modeling parameters in fatigue damage accumulation. The updated uncertainties are included in a probabilistic model for fatigue damage accumulation used to update the structural reliability. The updated reliability can be used as input to optimize decision models for operation and maintenance of existing structures and design of new structures. The framework is exemplified based on two numerical case studies with a representative offshore wind turbine and information acquired from previously established digital twins. In this context, the effect of updating soil stiffness and wave loading, which constitute two highly uncertain and sensitive parameters, is investigated. It is found that updating the soil stiffness significantly affects the reliability of the joints close to the mudline, while updating the wave loading significantly affects the reliability of the joints localized in the splash zone. The increased uncertainty related to virtual sensing, which is employed to update wave loading, reduces structural reliability.

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Section: Substructurementioning

confidence: 99%

Towards offshore wind digital twins: Application to jacket substructures

Augustyn¹

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On the influence of environmental and operational variability on modal parameters of offshore wind support structures

Cited by 5 publications

References 29 publications

Online Condition Monitoring of Rotating Machines by Self-Powered Piezoelectric Transducer from Real-Time Experimental Investigations

Online Condition Monitoring of Rotating Machines by Self-Powered Piezoelectric Transducer from Real-Time Experimental Investigations

Reliability Updating of Offshore Wind Substructures by Use of Digital Twin Information

Towards offshore wind digital twins: Application to jacket substructures

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