%0 Conference Paper %1 conf/iecon/NiDWGHB15 %A Ni, Mengqi %A Dong, Jingjing %A Wang, Tianzhen %A Gao, Diju %A Han, Jingang %A Benbouzid, Mohamed El Hachemi %B IECON %D 2015 %I IEEE %K dblp %P 2106-2111 %T A hybrid kernel PCA, hypersphere SVM and extreme learning machine approach for nonlinear process online fault detection. %U http://dblp.uni-trier.de/db/conf/iecon/iecon2015.html#NiDWGHB15 %@ 978-1-4799-1762-4

@inproceedings{conf/iecon/NiDWGHB15, added-at = {2020-02-27T00:00:00.000+0100}, author = {Ni, Mengqi and Dong, Jingjing and Wang, Tianzhen and Gao, Diju and Han, Jingang and Benbouzid, Mohamed El Hachemi}, biburl = {https://www.bibsonomy.org/bibtex/27070f9aeefd882e209a2bb9185d6a68c/dblp}, booktitle = {IECON}, crossref = {conf/iecon/2015}, ee = {https://doi.org/10.1109/IECON.2015.7392412}, interhash = {ef8e8fbb62dbca975563853a36ffaebe}, intrahash = {7070f9aeefd882e209a2bb9185d6a68c}, isbn = {978-1-4799-1762-4}, keywords = {dblp}, pages = {2106-2111}, publisher = {IEEE}, timestamp = {2020-02-28T11:41:01.000+0100}, title = {A hybrid kernel PCA, hypersphere SVM and extreme learning machine approach for nonlinear process online fault detection.}, url = {http://dblp.uni-trier.de/db/conf/iecon/iecon2015.html#NiDWGHB15}, year = 2015 }