Importance of the attributes of fan No.21.

Importance of the attributes of fan No.21.

<div><p>The icing failures of wind turbine blades are critical factors that affect both power generation efficiency and safety. To improve the diagnostic accuracy and speed, an improved weighted kernel extreme learning machine (IWKELM) optimized by multi-strategy adaptive coati optimizat...

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Bibliographic Details
Main Author: Xingtao Wu (22139242) (author)
Other Authors: Yunfei Ding (13570771) (author), Ruizhi Zhao (225982) (author), Dong Ding (112949) (author), Hongwei Zhang (28335) (author), Lin Wang (11986) (author)
Published: 2025
Subjects:
Medicine
Biotechnology
Cancer
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
wind turbine blades
strategy adaptive coa
real scada data
power generation efficiency
improved objective function
dimensionality reduction technique
model optimization performance
e ., macoa
icing diagnostic model
accuracy reaches 92
diagnostic model
icing failures
diagnostic accuracy
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vy flights
two sets
standard deviation
random forest
internal distribution
critical factors
case study
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