%0 Journal Article %1 journals/aei/YangLLLH24 %A Yang, Tongguang %A Li, Guanchen %A Li, Kaitai %A Li, Xiaoyong %A Han, Qingkai %D 2024 %J Adv. Eng. Informatics %K dblp %P 102558 %T The LPST-Net: A new deep interval health monitoring and prediction framework for bearing-rotor systems under complex operating conditions. %U http://dblp.uni-trier.de/db/journals/aei/aei62.html#YangLLLH24 %V 62

@article{journals/aei/YangLLLH24, added-at = {2024-06-24T00:00:00.000+0200}, author = {Yang, Tongguang and Li, Guanchen and Li, Kaitai and Li, Xiaoyong and Han, Qingkai}, biburl = {https://www.bibsonomy.org/bibtex/2d95d6a8d4e2dbff75c65d0905a53e914/dblp}, ee = {https://doi.org/10.1016/j.aei.2024.102558}, interhash = {67be1eb535c8e25c979b2dab55ef4335}, intrahash = {d95d6a8d4e2dbff75c65d0905a53e914}, journal = {Adv. Eng. Informatics}, keywords = {dblp}, pages = 102558, timestamp = {2024-07-01T07:05:49.000+0200}, title = {The LPST-Net: A new deep interval health monitoring and prediction framework for bearing-rotor systems under complex operating conditions.}, url = {http://dblp.uni-trier.de/db/journals/aei/aei62.html#YangLLLH24}, volume = 62, year = 2024 }