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Computer Science > Artificial Intelligence

arXiv:2211.13258 (cs)
[Submitted on 23 Nov 2022]

Title:Online Dynamic Reliability Evaluation of Wind Turbines based on Drone-assisted Monitoring

Authors:Sohag Kabir, Koorosh Aslansefat, Prosanta Gope, Felician Campean, Yiannis Papadopoulos
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Abstract: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.
Comments: 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
Subjects: Artificial Intelligence (cs.AI); Robotics (cs.RO); Systems and Control (eess.SY)
Cite as: arXiv:2211.13258 [cs.AI]
  (or arXiv:2211.13258v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2211.13258

Submission history

From: Koorosh Aslansefat [view email]
[v1] Wed, 23 Nov 2022 19:11:33 UTC (2,095 KB)
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