Combining Drone-based Monitoring and Machine Learning for Online Reliability Evaluation of Wind Turbines
Author:
Affiliation:
1. University of Bradford,Faculty of Engineering and Informatics,Bradford,UK
2. University of Hull,Dept. Computer Science and Technology,Kingston Upon Hull,UK
3. University of Sheffield,Dept. Computer Science,Sheffield,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9875021/9875075/09875095.pdf?arnumber=9875095
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1. A Markov Process-Based Approach for Reliability Evaluation of the Propulsion System in Multi-rotor Drones
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3. Reliability analysis of blade of the offshore wind turbine supported by the floating foundation
4. Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems
5. Safedrones: Real-time reliability evaluation of uavs using executable digital dependable identities;aslansefat;The 8th International Symposium on Model-Based Safety Assessment (IMBSA 2022),2022
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