Machine learning methods for wind turbine condition monitoring: A review
Sign Up to like & getrecommendations! Published in 2019 at "Renewable Energy"
DOI: 10.1016/j.renene.2018.10.047
Abstract: Abstract This paper reviews the recent literature on machine learning (ML) models that have been used for condition monitoring in wind turbines (e.g. blade fault detection or generator temperature monitoring). We classify these models by… read more here.
Keywords: condition monitoring; learning methods; machine learning; methods wind ... See more keywords
Analytical Methods for Wind-Driven Dynamic Behavior of Pear Leaves (Pyrus pyrifolia)
Sign Up to like & getrecommendations! Published in 2025 at "Agriculture"
DOI: 10.3390/agriculture15080886
Abstract: The fluttering of leaves under wind fields significantly impacts the efficiency and precision of agricultural spraying. However, existing spraying technologies often overlook the complex mechanisms of wind–leaf interactions. This study integrates the fine-tuned Segment Anything… read more here.
Keywords: wind fields; methods wind; dynamic behavior; leaf fluttering ... See more keywords
Impacts of anemometer changes, site relocations and processing methods on wind speed trends in China
Sign Up to like & getrecommendations! Published in 2024 at "Atmospheric Measurement Techniques"
DOI: 10.5194/amt-17-1123-2024
Abstract: Abstract. In situ surface wind observation is a critical meteorological data source for various research fields. However, data quality is affected by factors such as surface friction changes, station relocations and anemometer updates. Previous methods… read more here.
Keywords: methods wind; speed trends; processing methods; wind speed ... See more keywords