Hua Han 
- (2024): Comprehensive study on building chiller fault feature and diagnosis using hybrid CNN. In: Science and Technology for the Built Environment, v. 31, n. 1 (11 November 2024).
- (2021): A feature importance ranking based fault diagnosis method for variable-speed screw chiller. In: Science and Technology for the Built Environment, v. 28, n. 2 (Dezember 2021).
- (2021): Application of PSO-LSSVM and hybrid programming to fault diagnosis of refrigeration systems. In: Science and Technology for the Built Environment, v. 27, n. 5 (April 2021).
- (2020): Chiller fault detection and diagnosis by knowledge transfer based on adaptive imbalanced processing. In: Science and Technology for the Built Environment, v. 26, n. 8 (Juli 2020).
- (2018): Comparative study of probabilistic neural network and back propagation network for fault diagnosis of refrigeration systems. In: Science and Technology for the Built Environment, v. 24, n. 4 (März 2018).
- (2021): Fault diagnosis for building chillers based on data self-production and deep convolutional neural network. In: Journal of Building Engineering, v. 34 (Februar 2021).
- (2011): Automated FDD of multiple-simultaneous faults (MSF) and the application to building chillers. In: Energy and Buildings, v. 43, n. 9 (September 2011).
- (2020): Ensemble learning with member optimization for fault diagnosis of a building energy system. In: Energy and Buildings, v. 226 (November 2020).
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