%0 Journal Article %1 journals/kbs/YangKWLCX22 %A Yang, Shengkang %A Kong, Xianguang %A Wang, Qibin %A Li, Zhongquan %A Cheng, Han %A Xu, Kun %D 2022 %J Knowl. Based Syst. %K dblp %P 108639 %T Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions. %U http://dblp.uni-trier.de/db/journals/kbs/kbs249.html#YangKWLCX22 %V 249

@article{journals/kbs/YangKWLCX22, added-at = {2022-06-20T00:00:00.000+0200}, author = {Yang, Shengkang and Kong, Xianguang and Wang, Qibin and Li, Zhongquan and Cheng, Han and Xu, Kun}, biburl = {https://www.bibsonomy.org/bibtex/24babee802ce24df52c15f59101c9f003/dblp}, ee = {https://doi.org/10.1016/j.knosys.2022.108639}, interhash = {75baf4d4a3f80084a15f6318a5e7c5f6}, intrahash = {4babee802ce24df52c15f59101c9f003}, journal = {Knowl. Based Syst.}, keywords = {dblp}, pages = 108639, timestamp = {2024-04-09T02:46:19.000+0200}, title = {Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions.}, url = {http://dblp.uni-trier.de/db/journals/kbs/kbs249.html#YangKWLCX22}, volume = 249, year = 2022 }