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Autonomous Sensor System for Wind Turbine Blade Collision Detection
Kyle Clocker
, Congcong Hu
,
Jason Roadman
, Roberto Albertani
, Matthew Johnston
National Wind Technology Center
Oregon State University
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Scopus Citations
Overview
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Dive into the research topics of 'Autonomous Sensor System for Wind Turbine Blade Collision Detection'. Together they form a unique fingerprint.
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Engineering
Sensor System
100%
Collision Detection
100%
Wind turbine blades
100%
Compressed Air Motors
75%
Wind Power
25%
Blade Root
25%
Step Approach
25%
Learning Approach
25%
Detection Algorithm
25%
Sensor Data
25%
Experimental Data Set
25%
Structural Health Monitoring
25%
Detection Technique
25%
Using Sensor
25%
Classification Algorithm
25%
Learning System
25%
Computer Science
Collision Detection
100%
Machine Learning Approach
25%
Monitoring Application
25%
Quantitative Assessment
25%
Training Development
25%
Classification Algorithm
25%
Image Capture
25%
adaptive boosting
25%
Detection Algorithm
25%
Physics
Compressed Air Motors
100%
Classification Systems
25%
Windpower Utilization
25%
Structural Health Monitoring
25%
Machine Learning
25%
Material Science
Sensor System
100%
Detection Technique
100%