A Novel Ellipsoidal Semisupervised Extreme Learning Machine Algorithm and Its Application in Wind Turbine Blade Icing Fault Detection-Reference-Cited by-同舟云学术

A Novel Ellipsoidal Semisupervised Extreme Learning Machine Algorithm and Its Application in Wind Turbine Blade Icing Fault Detection

Author:

Tong Ruining¹^ORCID,Li Peng¹^ORCID,Gao Lian¹^ORCID,Lang Xun¹^ORCID,Miao Aimin²^ORCID,Shen Xin³^ORCID

Affiliation:

1. School of Information, Yunnan University, Kunming, Yunnan, China

2. College of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, China

3. China Southern Power Grid Yunnan Electric Power Company Ltd., Kunming, Yunnan, China

Funder

National Natural Science Foundation of China

Training Plan for Young and Middle-Aged Academic and Technological Leaders in Yunnan Province

Open Research Project of the State Key Laboratory of Industrial Control Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference43 articles.

4. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples;belkin;J Mach Learn Res,2006

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献