Attention Recurrent Autoencoder Hybrid Model for Early Fault Diagnosis of Rotating Machinery

Xiangwei Kong, Xueyi Li, Qingzhao Zhou, Zhiyong Hu, Cheng Shi. Attention Recurrent Autoencoder Hybrid Model for Early Fault Diagnosis of Rotating Machinery. IEEE T. Instrumentation and Measurement, 70:1-10, 2021. [doi]

@article{KongLZHS21,
  title = {Attention Recurrent Autoencoder Hybrid Model for Early Fault Diagnosis of Rotating Machinery},
  author = {Xiangwei Kong and Xueyi Li and Qingzhao Zhou and Zhiyong Hu and Cheng Shi},
  year = {2021},
  doi = {10.1109/TIM.2021.3051948},
  url = {https://doi.org/10.1109/TIM.2021.3051948},
  researchr = {https://researchr.org/publication/KongLZHS21},
  cites = {0},
  citedby = {0},
  journal = {IEEE T. Instrumentation and Measurement},
  volume = {70},
  pages = {1-10},
}