Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/access/ZhangQMHHS18
%A Zhang, Dahai
%A Qian, Liyang
%A Mao, Baijin
%A Huang, Can
%A Huang, Bin
%A Si, Yulin
%D 2018
%J IEEE Access
%K dblp
%P 21020-21031
%T A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost.
%U http://dblp.uni-trier.de/db/journals/access/access6.html#ZhangQMHHS18
%V 6
@article{journals/access/ZhangQMHHS18,
added-at = {2020-10-26T00:00:00.000+0100},
author = {Zhang, Dahai and Qian, Liyang and Mao, Baijin and Huang, Can and Huang, Bin and Si, Yulin},
biburl = {https://www.bibsonomy.org/bibtex/2ed48f936dd542a19406152011b5a8071/dblp},
ee = {https://doi.org/10.1109/ACCESS.2018.2818678},
interhash = {4faec53441847185ee3a8201b88b095a},
intrahash = {ed48f936dd542a19406152011b5a8071},
journal = {IEEE Access},
keywords = {dblp},
pages = {21020-21031},
timestamp = {2020-10-27T11:53:57.000+0100},
title = {A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost.},
url = {http://dblp.uni-trier.de/db/journals/access/access6.html#ZhangQMHHS18},
volume = 6,
year = 2018
}