%0 Journal Article %1 journals/tim/LuLZZM23 %A Lu, Zhiqiang %A Liang, Longyang %A Zhu, Jun %A Zou, Wenhao %A Mao, Lei %D 2023 %J IEEE Trans. Instrum. Meas. %K dblp %P 1-11 %T Rotating Machinery Fault Diagnosis Under Multiple Working Conditions via a Time-Series Transformer Enhanced by Convolutional Neural Network. %U http://dblp.uni-trier.de/db/journals/tim/tim72.html#LuLZZM23 %V 72

@article{journals/tim/LuLZZM23, added-at = {2023-10-27T00:00:00.000+0200}, author = {Lu, Zhiqiang and Liang, Longyang and Zhu, Jun and Zou, Wenhao and Mao, Lei}, biburl = {https://www.bibsonomy.org/bibtex/2a63c8e81974961a0f4c068d0ab7e13d6/dblp}, ee = {https://doi.org/10.1109/TIM.2023.3318707}, interhash = {effc2f4d46963eb23052519f1858c8aa}, intrahash = {a63c8e81974961a0f4c068d0ab7e13d6}, journal = {IEEE Trans. Instrum. Meas.}, keywords = {dblp}, pages = {1-11}, timestamp = {2024-04-08T14:36:44.000+0200}, title = {Rotating Machinery Fault Diagnosis Under Multiple Working Conditions via a Time-Series Transformer Enhanced by Convolutional Neural Network.}, url = {http://dblp.uni-trier.de/db/journals/tim/tim72.html#LuLZZM23}, volume = 72, year = 2023 }