Hanyuan Zhang 
- : Effects of various information scenarios on layer-wise relevance propagation-based interpretable convolutional neural networks for air handling unit fault diagnosis. In: Building Simulation.
- (2024): A novel global modelling strategy integrated dynamic kernel canonical variate analysis for the air handling unit fault detection via considering the two-directional dynamics. In: Journal of Building Engineering, v. 96 (November 2024).
- (2024): An improved BIM aided indoor localization method via enhancing cross-domain image retrieval based on deep learning. In: Journal of Building Engineering, v. 91 (August 2024).
- (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 (Juli 2023).
- (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).
- (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).
- (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 (Dezember 2021).
- (2021): A novel temporal convolutional network via enhancing feature extraction for the chiller fault diagnosis. In: Journal of Building Engineering, v. 42 (Oktober 2021).
Structurae kooperiert mit
