A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder

Wanxiang Li, Zhiwu Shang, Jie Zhang, Maosheng Gao, Shiqi Qian. A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder. Eng. Appl. of AI, 123(Part B):106312, 2023. [doi]

@article{LiSZGQ23,
  title = {A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder},
  author = {Wanxiang Li and Zhiwu Shang and Jie Zhang and Maosheng Gao and Shiqi Qian},
  year = {2023},
  doi = {10.1016/j.engappai.2023.106312},
  url = {https://doi.org/10.1016/j.engappai.2023.106312},
  researchr = {https://researchr.org/publication/LiSZGQ23},
  cites = {0},
  citedby = {0},
  journal = {Eng. Appl. of AI},
  volume = {123},
  number = {Part B},
  pages = {106312},
}