%0 Conference Paper %1 conf/iecon/SiQMZ17 %A Si, Yulin %A Qian, Liyang %A Mao, Baijin %A Zhang, Dahai %B IECON %D 2017 %I IEEE %K dblp %P 3149-3154 %T A data-driven approach for fault detection of offshore wind turbines using random forests. %U http://dblp.uni-trier.de/db/conf/iecon/iecon2017.html#SiQMZ17 %@ 978-1-5386-1127-2

@inproceedings{conf/iecon/SiQMZ17, added-at = {2019-01-19T00:00:00.000+0100}, author = {Si, Yulin and Qian, Liyang and Mao, Baijin and Zhang, Dahai}, biburl = {https://www.bibsonomy.org/bibtex/2ed29ea7cded70a6243220f4092978298/dblp}, booktitle = {IECON}, crossref = {conf/iecon/2017}, ee = {https://doi.org/10.1109/IECON.2017.8216532}, interhash = {88543e803bd8a1f8d6e90f8f50e5080d}, intrahash = {ed29ea7cded70a6243220f4092978298}, isbn = {978-1-5386-1127-2}, keywords = {dblp}, pages = {3149-3154}, publisher = {IEEE}, timestamp = {2019-10-17T21:23:36.000+0200}, title = {A data-driven approach for fault detection of offshore wind turbines using random forests.}, url = {http://dblp.uni-trier.de/db/conf/iecon/iecon2017.html#SiQMZ17}, year = 2017 }