Skip to main navigation
Skip to search
Skip to main content
TU Delft Research Portal Home
Help & FAQ
Home
Research units
Researchers
Research output
Datasets
Projects
Equipment
Press/Media
Prizes
Activities
Search by expertise, name or affiliation
Wind turbine blade damage detection using aerodynamic noise
Y. Zhang
Wind Energy
Research output
:
Thesis
›
Dissertation (TU Delft)
124
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Wind turbine blade damage detection using aerodynamic noise'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Blade Damage
100%
Wind Turbine Blade
100%
Blade Inspection
100%
Aerodynamic Noise
100%
Damage Detection
66%
Non-contact
33%
Flow Field
33%
Wind Energy
33%
Wind Farm
33%
Non-contact Method
33%
Aeroacoustics
33%
Addressing Climate Change
33%
Time Monitoring
33%
Sustainable Development
33%
Renewable Energy
33%
Microphone
33%
Climate Change Concern
33%
Leading Edge Erosion
33%
Boundary Layer
33%
Blade Surface
33%
Promising Solutions
33%
Safety Hazards
33%
Trailing Edge
33%
Edge Crack
33%
Wind Tunnel
33%
Damage Classification
33%
Contact Damage
33%
Wind Turbine
33%
Engineering
Damage Detection
100%
Wind Turbine
100%
Aerodynamic Noise
100%
Blade Surface
25%
Measurement
25%
Microphone
25%
Downtime
25%
Edge Crack
25%
Installation
25%
Development
25%
Flow Field
25%
Fields
25%
Blade Failure
25%
Crack Edge
25%
Global Scale
25%
Trailing Edge
25%
Detection
25%
Erosion
25%
Boundary Layer
25%
Wind Power
25%
Climate Change
25%
Renewable Energy Source
25%
Leading Edge
25%
Hazards
25%
Tunnels
25%
Sustainable Development
25%
Early Stage
25%
INIS
damage
100%
noise
100%
aerodynamics
100%
wind turbines
100%
turbine blades
100%
detection
100%
sustainable development
11%
boundary layers
11%
failures
11%
surfaces
11%
installation
11%
energy
11%
erosion
11%
hazards
11%
wind tunnels
11%
monitoring
11%
climatic change
11%
wind farms
11%
safety
11%
wind
11%
solutions
11%
renewable energy sources
11%
cracks
11%