Mahalanobis semi-supervised mapping and beetle antennae search based support vector machine for wind turbine rolling bearings fault diagnosis

出版年份 2020 全文链接

标题

作者

关键词

Fault diagnosis, Wind turbine, Rolling bearing, Manifold learning, Mahalanobis semi-supervised mapping, Beetle antennae search based support vector machine

出版物

RENEWABLE ENERGY

Volume 155, Issue -, Pages 1312-1327

出版商

Elsevier BV

发表日期

2020-04-14

DOI

10.1016/j.renene.2020.04.041

向作者/读者发起求助以获取更多资源

Protocol

在线求助

Reagent

在线求助

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now