تقرير
Online Dynamic Reliability Evaluation of Wind Turbines based on Drone-assisted Monitoring
| العنوان: | Online Dynamic Reliability Evaluation of Wind Turbines based on Drone-assisted Monitoring |
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| المؤلفون: | Kabir, Sohag, Aslansefat, Koorosh, Gope, Prosanta, Campean, Felician, Papadopoulos, Yiannis |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Artificial Intelligence, Computer Science - Robotics, Electrical Engineering and Systems Science - Systems and Control |
| الوصف: | The offshore wind energy is increasingly becoming an attractive source of energy due to having lower environmental impact. Effective operation and maintenance that ensures the maximum availability of the energy generation process using offshore facilities and minimal production cost are two key factors to improve the competitiveness of this energy source over other traditional sources of energy. Condition monitoring systems are widely used for health management of offshore wind farms to have improved operation and maintenance. Reliability of the wind farms are increasingly being evaluated to aid in the maintenance process and thereby to improve the availability of the farms. However, much of the reliability analysis is performed offline based on statistical data. In this article, we propose a drone-assisted monitoring based method for online reliability evaluation of wind turbines. A blade system of a wind turbine is used as an illustrative example to demonstrate the proposed approach. Comment: A modified version of this work has been published in the 2022 International Conference on Computing, Electronics & Communications Engineering (iCCECE). This work is a draft author version |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2211.13258 |
| رقم الأكسشن: | edsarx.2211.13258 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |