Robotics & Machine Learning Daily News2024,Issue(MAY.8) :164-166.

Patent Issued for Wind turbine blade inspection system (USPTO 11959463)

Robotics & Machine Learning Daily News2024,Issue(MAY.8) :164-166.

Patent Issued for Wind turbine blade inspection system (USPTO 11959463)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventor Cieslak, Christopher Robert (London , GB), filed on February 11, 2019, was published online on April 16, 2024. The patent’s assignee for patent number 11959463 is Bladebug Limited (London, Un ited Kingdom). News editors obtained the following quote from the background information suppli ed by the inventors: “Wind turbines require regular inspection to check for dama ge, for example, from a bird strike or other object impact, as well as to monito r erosion, for example, leading edge erosion, that can be caused by particulates such as sand or grit, but also by droplets of rain or salt water. Indeed, this is becoming a key issue for the offshore wind sector. As wind turbine blades are generally made of composite materials, if the erosion becomes excessive, then t his can open up the core to possible ingress of moisture and subsequent delamina tion.

Key words

Bladebug Limited/Business/Emerging Tec hnologies/Machine Learning/Nano-robot/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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