Predicting fan blade icing by using particle swarm optimization and support vector machine algorithm-Reference-Cited by-同舟云学术

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Predicting fan blade icing by using particle swarm optimization and support vector machine algorithm

Published:2020-10 Issue: Volume:87 Page:106751
ISSN:0045-7906
Container-title:Computers & Electrical Engineering
language:en
Short-container-title:Computers & Electrical Engineering

Author:

Xu Jiaohui,Tan Wen,Li Tingshun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference14 articles.

1. A review of the effects of ice accretion on the structural behavior of wind turbines;Alsabagh;Wind Eng,2013

2. The status quo of development of anti-icing technology for wind turbine blades;Tian;China Electrical Equipment Industry,2013

3. Modelling of ice induced power losses and comparison with observations;Homola,2011

4. A summary of research on wind turbine icing;Dong;Machinery Design & Manufacture,2014

5. Deanna R. Ice detection sensor: US, US5886256[P]. 1999.

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