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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Zhang, Hanyuan / Yang, Wenxin / Yi, Weilin / Lim, Jit Bing / An, Zenghui / Li, Chengdong (2023): Imbalanced data based fault diagnosis of the chiller via integrating a new resampling technique with an improved ensemble extreme learning machine. In: Journal of Building Engineering, v. 70 (July 2023).

    https://doi.org/10.1016/j.jobe.2023.106338

  2. Yu, Yulong / Zhang, Hanyuan / Peng, Wei / Wang, Ruiqi / Li, Chengdong (2022): Images based fault diagnosis of air handling unit via combining kernel slow feature analysis and deep learning method. In: Journal of Building Engineering, v. 56 (September 2022).

    https://doi.org/10.1016/j.jobe.2022.104718

  3. Zhang, Hanyuan / Li, Chengdong / Wei, Qinglai / Zhang, Yunchu (2022): Fault detection and diagnosis of the air handling unit via combining the feature sparse representation based dynamic SFA and the LSTM network. In: Energy and Buildings, v. 269 (August 2022).

    https://doi.org/10.1016/j.enbuild.2022.112241

  4. Zhang, Hanyuan / Li, Chengdong / Li, Ding / Zhang, Yunchu / Peng, Wei (2021): Fault detection and diagnosis of the air handling unit via an enhanced kernel slow feature analysis approach considering the time-wise and batch-wise dynamics. In: Energy and Buildings, v. 253 (December 2021).

    https://doi.org/10.1016/j.enbuild.2021.111467

  5. Li, Chengdong / Shen, Cunxiao / Zhang, Hanyuan / Sun, Hongchang / Meng, Songping (2021): A novel temporal convolutional network via enhancing feature extraction for the chiller fault diagnosis. In: Journal of Building Engineering, v. 42 (October 2021).

    https://doi.org/10.1016/j.jobe.2021.103014

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