%0 Journal Article %1 journals/tie/MaCWWJJ19 %A Ma, Suliang %A Chen, Mingxuan %A Wu, Jianwen %A Wang, Yuhao %A Jia, Bowen %A Jiang, Yuan %D 2019 %J IEEE Trans. Ind. Electron. %K dblp %N 12 %P 9777-9788 %T High-Voltage Circuit Breaker Fault Diagnosis Using a Hybrid Feature Transformation Approach Based on Random Forest and Stacked Autoencoder. %U http://dblp.uni-trier.de/db/journals/tie/tie66.html#MaCWWJJ19 %V 66

@article{journals/tie/MaCWWJJ19, added-at = {2020-05-22T00:00:00.000+0200}, author = {Ma, Suliang and Chen, Mingxuan and Wu, Jianwen and Wang, Yuhao and Jia, Bowen and Jiang, Yuan}, biburl = {https://www.bibsonomy.org/bibtex/23b4620693b9ce4492fb01135de3ea303/dblp}, ee = {https://doi.org/10.1109/TIE.2018.2879308}, interhash = {144cc1f052c2fe9f7dd6703b127bb766}, intrahash = {3b4620693b9ce4492fb01135de3ea303}, journal = {IEEE Trans. Ind. Electron.}, keywords = {dblp}, number = 12, pages = {9777-9788}, timestamp = {2020-05-23T11:49:44.000+0200}, title = {High-Voltage Circuit Breaker Fault Diagnosis Using a Hybrid Feature Transformation Approach Based on Random Forest and Stacked Autoencoder.}, url = {http://dblp.uni-trier.de/db/journals/tie/tie66.html#MaCWWJJ19}, volume = 66, year = 2019 }