BibTeX record journals/aei/YangLLLH24

download as .bib file

@article{DBLP:journals/aei/YangLLLH24,
  author       = {Tongguang Yang and
                  Guanchen Li and
                  Kaitai Li and
                  Xiaoyong Li and
                  Qingkai Han},
  title        = {The LPST-Net: {A} new deep interval health monitoring and prediction
                  framework for bearing-rotor systems under complex operating conditions},
  journal      = {Adv. Eng. Informatics},
  volume       = {62},
  pages        = {102558},
  year         = {2024},
  url          = {https://doi.org/10.1016/j.aei.2024.102558},
  doi          = {10.1016/J.AEI.2024.102558},
  timestamp    = {Tue, 24 Dec 2024 22:38:31 +0100},
  biburl       = {https://dblp.org/rec/journals/aei/YangLLLH24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.