%0 Journal Article %1 journals/tim/KongLZHS21 %A Kong, Xiangwei %A Li, Xueyi %A Zhou, Qingzhao %A Hu, Zhiyong %A Shi, Cheng %D 2021 %J IEEE Trans. Instrum. Meas. %K dblp %P 1-10 %T Attention Recurrent Autoencoder Hybrid Model for Early Fault Diagnosis of Rotating Machinery. %U http://dblp.uni-trier.de/db/journals/tim/tim70.html#KongLZHS21 %V 70

@article{journals/tim/KongLZHS21, added-at = {2021-03-23T00:00:00.000+0100}, author = {Kong, Xiangwei and Li, Xueyi and Zhou, Qingzhao and Hu, Zhiyong and Shi, Cheng}, biburl = {https://www.bibsonomy.org/bibtex/2d53d85870ac031743ea32b18b6dc6651/dblp}, ee = {https://doi.org/10.1109/TIM.2021.3051948}, interhash = {ba6f6d4abf98dcf8a55d1aeca249a91d}, intrahash = {d53d85870ac031743ea32b18b6dc6651}, journal = {IEEE Trans. Instrum. Meas.}, keywords = {dblp}, pages = {1-10}, timestamp = {2024-04-08T14:40:14.000+0200}, title = {Attention Recurrent Autoencoder Hybrid Model for Early Fault Diagnosis of Rotating Machinery.}, url = {http://dblp.uni-trier.de/db/journals/tim/tim70.html#KongLZHS21}, volume = 70, year = 2021 }