- 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). (2024):
- 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). (2021):
- Fault diagnosis for building chillers based on data self-production and deep convolutional neural network. In: Journal of Building Engineering, v. 34 (February 2021). (2021):