A Remaining Useful Life Prediction Model Based on Hybrid Long-Short Sequences for Engines

Shengnan Wang, Xiaoyong Zhang, Dianzhu Gao, Bin Chen, Yijun Cheng, Yingze Yang, Wentao Yu, Zhiwu Huang, Jun Peng. A Remaining Useful Life Prediction Model Based on Hybrid Long-Short Sequences for Engines. In Wei-Bin Zhang, Alexandre M. Bayen, Javier J. Sánchez Medina, Matthew J. Barth, editors, 21st International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, November 4-7, 2018. pages 1757-1762, IEEE, 2018. [doi]

@inproceedings{WangZGCCYYHP18,
  title = {A Remaining Useful Life Prediction Model Based on Hybrid Long-Short Sequences for Engines},
  author = {Shengnan Wang and Xiaoyong Zhang and Dianzhu Gao and Bin Chen and Yijun Cheng and Yingze Yang and Wentao Yu and Zhiwu Huang and Jun Peng},
  year = {2018},
  doi = {10.1109/ITSC.2018.8569668},
  url = {https://doi.org/10.1109/ITSC.2018.8569668},
  researchr = {https://researchr.org/publication/WangZGCCYYHP18},
  cites = {0},
  citedby = {0},
  pages = {1757-1762},
  booktitle = {21st International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, November 4-7, 2018},
  editor = {Wei-Bin Zhang and Alexandre M. Bayen and Javier J. Sánchez Medina and Matthew J. Barth},
  publisher = {IEEE},
  isbn = {978-1-7281-0323-5},
}