Condition-based maintenance of wind turbine blades
Master thesis
Permanent lenke
https://hdl.handle.net/11250/3022358Utgivelsesdato
2022Metadata
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Sammendrag
The blades of offshore wind farms (OWTs) are susceptible to a wide variety of diverse sources ofdamage. Internal impacts are caused primarily by structure deterioration, so even though outerconsequences are the consequence of harsh marine ecosystems. We examine condition-basedmaintenance (CBM) for a multiblade OWT system that is exposed to environmental shocks in thiswork. In recent years, there has been a significant rise in the number of wind turbines operatingoffshore that make use of CBMs. The gearbox, generator, and drive train all have their ownvibration-based monitoring systems, which form most of their foundation. For the blades, drivetrain, tower, and foundation, a cost analysis of the various widely viable CBM systems as well astheir individual prices has been done. The purpose of this article is to investigate the potentialbenefits that may result from using these supplementary systems in the maintenance strategy.Along with providing a theoretical foundation, this article reviews the previous research that hasbeen conducted on CBM of OWT blades. Utilizing the data collected from condition monitoring,an artificial neural network is employed to provide predictions on the remaining life. For thepurpose of assessing and forecasting the cost and efficacy of CBM, a simple tool that is based onartificial neural networks (ANN) has been developed. A CBM technique that is well-establishedand is based on data from condition monitoring is used to reduce cost of maintenance. This can beaccomplished by reducing malfunctions, cutting down on service interruption, and reducing thenumber of unnecessary maintenance works. In MATLAB, an ANN is used to research both thefailure replacement cost and the preventative maintenance cost. In addition to this, a technique foroptimization is carried out to gain the optimal threshold values. There is a significant opportunityto save costs by improving how choices are made on maintenance to make the operations morecost-effective. In this research, a technique to optimizing CBM program for elements whosedeterioration may be characterized according to the level of damage that it has sustained ispresented. The strategy may be used for maintenance that is based on inspections as well asmaintenance that is based on online condition monitoring systems.