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Apparatus and amendment of wind turbine blade impact detection and analysis

Patent ·
OSTI ID:1986915
A multisensory system provides both temporal and spatial coverage capacities for auto-detection of bird collision events. The system includes an apparatus having a first circuitry to capture and store a series of images or video of a blade of a wind turbine; and a memory to store the images from the first circuitry. The apparatus also has one or more sensors to continuously sense vibration of the blade or for acoustic recordings; and a second circuitry to analyze the sensor data stream and/or the series of images or video to identify a cause of the vibration and to trigger the camera(s). A communication interface transmits data from the second circuitry to another device, wherein the second circuitry applies artificial intelligence or machine learning to control sensitivity of the one or more sensors.
Research Organization:
Oregon State University, Corvallis, OR (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
EE0005363; EE0007885
Assignee:
Oregon State University (Corvallis, OR)
Patent Number(s):
11,521,083
Application Number:
16/741,638
OSTI ID:
1986915
Country of Publication:
United States
Language:
English

References (8)

Time-frequency analysis and support vector machine in automatic detection of defect from vibration signal of centrifugal pump journal October 2017
Assessing environmental impacts of offshore wind farms: lessons learned and recommendations for the future journal January 2014
Towards a cumulative collision risk assessment of local and migrating birds in North Sea offshore wind farms journal February 2015
A training algorithm for optimal margin classifiers conference January 1992
Bird movements at rotor heights measured continuously with vertical radar at a D utch offshore wind farm journal April 2015
Vibration response of a 2.3 MW wind turbine to yaw motion and shut down events: Wavelet analysis of wind turbine vibration journal February 2011
Estimating Bat and Bird Mortality Occurring at Wind Energy Turbines from Covariates and Carcass Searches Using Mixture Models journal July 2013
Contextualizing avian mortality: A preliminary appraisal of bird and bat fatalities from wind, fossil-fuel, and nuclear electricity journal June 2009

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