Graduate Thesis Or Dissertation
 

Autonomous Sensor Systems For Wind Turbine Blade Collision Detection

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/4m90f3668

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  • Wind turbines serve an increasing proportion of total energy generation, with expanded onshore and offshore installations proceeding worldwide. Continued construction, expansion, and operation of wind energy installations must be managed in conjunction with effects on local and migratory wildlife, specifically bird and bat species that may be affected by wind turbine collisions. In this document, I present work in developing a novel sensor system for the automated detection of blade collisions, towards the goal of supporting, monitoring, and quantitative assessment of wind energy impacts on wildlife. This work consists of two systems one building on the other to achieve this goal. The first system consists of wireless multi-sensor modules mounted at the root and along the length of the blade measuring surface vibrations and a camera at the blade root to provide images of colliding objects. Sensor data, recorded during field testing of the system on an operational wind turbine, is used for the development, training, and testing of an automated detection algorithm for collision detection using machine-learning approaches. The second system takes knowledge gained from the first system and attempts to lower the detection threshold for detecting collisions with lower mass objects. This system features an updated version of the wireless multi-sensor module installed at the root of the blade, as well as energy autonomous wireless sensing patches installed along the length of a blade. In efforts to support the low-power detection of low energy collisions a custom ultra-low-power feature extraction integrated circuit (IC) was developed. This feature extractor was manufactured in a standard 180\,nm process and preliminary test results are shown.
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  • Ongoing Research
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  • 2021-12-29 to 2023-01-29

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file details ClockerKyleM2022.pdf 2021-12-28 Público Baixar