A case study on risk-based maintenance of wind turbine blades with structural health monitoring
| Autor: | Dmitri Tcherniak, Martin Dalgaard Ulriksen, Jannie Sønderkær Nielsen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Turbine blade
Computer science 0211 other engineering and technologies 020101 civil engineering Ocean Engineering 02 engineering and technology wind turbine reliability inspection and maintenance 0201 civil engineering law.invention Value of information risk-based operation law Wind turbines Safety Risk Reliability and Quality Civil and Structural Engineering 021110 strategic defence & security studies Wind power structural health monitoring business.industry Mechanical Engineering Building and Construction Geotechnical Engineering and Engineering Geology value of information Reliability engineering Bayesian networks Structural health monitoring business Risk based maintenance |
| Zdroj: | Nielsen, J S, Tcherniak, D & Ulriksen, M D 2021, ' A case study on risk-based maintenance of wind turbine blades with structural health monitoring ', Structure & Infrastructure Engineering, vol. 17, no. 3, pp. 302-318 . https://doi.org/10.1080/15732479.2020.1743326 |
| ISSN: | 1744-8980 1573-2479 |
| DOI: | 10.1080/15732479.2020.1743326 |
| Popis: | This paper presents a case study demonstrating how to quantify thevalue of structural health monitoring (SHM), when used optimally inmaintenance planning for wind turbine blades. Maintenance costoptimization is performed using a risk-based approach based onBayesian decision analysis, in which probabilistic models are developedfor blade deterioration processes, blade inspections and SHM systems.The probabilistic SHM system model is based on data from an SHMcampaign with a 225 kW Vestas V27 wind turbine, where an artificialtrailing edge crack of increasing size was introduced. The statisticsderived from this model are applied to the case study concerningmaintenance of an 8 MW offshore wind turbine. It is found that thebenefit of the SHM highly depends on the reliability of the SHM systemand on how SHM observations are used when making decisions oninspections and maintenance. A sensitivity study confirms the generalityof the findings. The paper presents a case study demonstrating the methods used to estimate the value of the information (VoI) delivered by a structural health monitoring (SHM) system. The monitored object is a blade of an operating wind turbine. The case study shows how the maintenance cost optimization can be performed using a risk-based approach cast in a Bayesian decision analysis framework, in which probabilistic models are developed for blade deterioration processes, blade inspections, and SHM systems. The paper also provides a parameter study, which demonstrates how the potential benet of SHM highly depends on the reliability of the utilized SHM system and how the SHM observations are used for decision making on the inspections and maintenance. |
| Databáze: | OpenAIRE |
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