- Investigation of the Failure Mechanism and PTFE Strength Reduction of Double-Layer Orthogonal Cable-Membrane Connections. Dans: International Journal of Civil Engineering. :
- Knowledge-extracted deep learning diagnosis and its cloud-based management for multiple faults of chiller. Dans: Building and Environment, v. 235 (mai 2023). (2023):
- Deep learning GAN-based data generation and fault diagnosis in the data center HVAC system. Dans: Energy and Buildings, v. 289 (juin 2023). (2023):
- Mechanical Properties of Steel Strand Cables Based on Zinc-5% Aluminium-Mixed Mischmetal Alloy-Coated Steel Wires Under Cyclic Loading–Unloading. Dans: International Journal of Civil Engineering, v. 21, n. 8 (avril 2023). (2023):
- Interpretable mechanism mining enhanced deep learning for fault diagnosis of heating, ventilation and air conditioning systems. Dans: Building and Environment, v. 237 (juin 2023). (2023):
- Across working conditions fault diagnosis for chillers based on IoT intelligent agent with deep learning model. Dans: Energy and Buildings, v. 268 (août 2022). (2022):
- Diagnosis for multiple faults of chiller using ELM-KNN model enhanced by multi-label learning and specific feature combinations. Dans: Building and Environment, v. 214 (avril 2022). (2022):
- Transfer learning based methodology for migration and application of fault detection and diagnosis between building chillers for improving energy efficiency. Dans: Building and Environment, v. 200 (août 2021). (2021):
- Fault detection and diagnosis for the screw chillers using multi-region XGBoost model. Dans: Science and Technology for the Built Environment, v. 27, n. 5 (avril 2021). (2021):
- Multi-sensor information fusion based control for VAV systems using thermal comfort constraints. Dans: Building Simulation, v. 14, n. 4 (février 2021). (2021):
- Evaluation of operation performance of a multi-chiller system using a data-based chiller model. Dans: Energy and Buildings, v. 172 (août 2018). (2018):
- Fault diagnosis based operation risk evaluation for air conditioning systems in data centers. Dans: Building and Environment, v. 163 (octobre 2019). (2019):