| An improved fault detection method for incipient centrifugal chiller faults using the PCA-R-SVDD algorithm G Li, Y Hu, H Chen, L Shen, H Li, M Hu, J Liu, K Sun Energy and Buildings 116, 104-113, 2016 | 133 | 2016 |
| Improved sensor fault detection, diagnosis and estimation for screw chillers using density-based clustering and principal component analysis G Li, Y Hu Energy and Buildings 173, 502-515, 2018 | 101 | 2018 |
| Chiller sensor fault detection using a self-adaptive principal component analysis method Y Hu, H Chen, J Xie, X Yang, C Zhou Energy and buildings 54, 252-258, 2012 | 96 | 2012 |
| Data partitioning and association mining for identifying VRF energy consumption patterns under various part loads and refrigerant charge conditions G Li, Y Hu, H Chen, H Li, M Hu, Y Guo, J Liu, S Sun, M Sun Applied energy 185, 846-861, 2017 | 90 | 2017 |
| A statistical training data cleaning strategy for the PCA-based chiller sensor fault detection, diagnosis and data reconstruction method Y Hu, H Chen, G Li, H Li, R Xu, J Li Energy and Buildings 112, 270-278, 2016 | 88 | 2016 |
| An improved decision tree-based fault diagnosis method for practical variable refrigerant flow system using virtual sensor-based fault indicators G Li, H Chen, Y Hu, J Wang, Y Guo, J Liu, H Li, R Huang, H Lv, J Li Applied Thermal Engineering 129, 1292-1303, 2018 | 85 | 2018 |
| An enhanced PCA-based chiller sensor fault detection method using ensemble empirical mode decomposition based denoising G Li, Y Hu Energy and Buildings 183, 311-324, 2019 | 81 | 2019 |
| A sensor fault detection and diagnosis strategy for screw chiller system using support vector data description-based D-statistic and DV-contribution plots G Li, Y Hu, H Chen, H Li, M Hu, Y Guo, S Shi, W Hu Energy and Buildings 133, 230-245, 2016 | 77 | 2016 |
| An enhanced PCA method with Savitzky-Golay method for VRF system sensor fault detection and diagnosis Y Guo, G Li, H Chen, Y Hu, H Li, L Xing, W Hu Energy and Buildings 142, 167-178, 2017 | 73 | 2017 |
| Refrigerant charge fault diagnosis in the VRF system using Bayesian artificial neural network combined with ReliefF filter S Shi, G Li, H Chen, J Liu, Y Hu, L Xing, W Hu Applied Thermal Engineering 112, 698-706, 2017 | 64 | 2017 |
| Extending the virtual refrigerant charge sensor (VRC) for variable refrigerant flow (VRF) air conditioning system using data-based analysis methods G Li, Y Hu, H Chen, L Shen, H Li, J Li, W Hu Applied Thermal Engineering 93, 908-919, 2016 | 53 | 2016 |
| A refrigerant charge fault detection method for variable refrigerant flow (VRF) air-conditioning systems J Liu, Y Hu, H Chen, J Wang, G Li, W Hu Applied Thermal Engineering 107, 284-293, 2016 | 50 | 2016 |
| Sensitivity analysis for PCA-based chiller sensor fault detection Y Hu, G Li, H Chen, H Li, J Liu International journal of refrigeration 63, 133-143, 2016 | 50 | 2016 |
| An efficient VRF system fault diagnosis strategy for refrigerant charge amount based on PCA and dual neural network model S Shi, G Li, H Chen, Y Hu, X Wang, Y Guo, S Sun Applied Thermal Engineering 129, 1252-1262, 2018 | 48 | 2018 |
| Chiller sensor fault detection based on empirical mode decomposition threshold denoising and principal component analysis Q Mao, X Fang, Y Hu, G Li Applied Thermal Engineering 144, 21-30, 2018 | 46 | 2018 |
| Identification and isolation of outdoor fouling faults using only built-in sensors in variable refrigerant flow system: A data mining approach G Li, Y Hu, H Chen, J Wang, Y Guo, J Liu, J Li Energy and Buildings 146, 257-270, 2017 | 41 | 2017 |
| Review on fault detection and diagnosis feature engineering in building heating, ventilation, air conditioning and refrigeration systems G Li, Y Hu, J Liu, X Fang, J Kang IEEE Access 9, 2153-2187, 2020 | 39 | 2020 |
| An alternative approach to quantifying fluid flow uniformity based on area-weighted average velocity and mass-weighted average velocity HG Tao, HX Chen, JL Xie, YP Hu Energy and buildings 45, 116-123, 2012 | 39 | 2012 |
| Energy consumption prediction for water-source heat pump system using pattern recognition-based algorithms J Wang, G Li, H Chen, J Liu, Y Guo, S Sun, Y Hu Applied Thermal Engineering 136, 755-766, 2018 | 34 | 2018 |
| Development of a virtual variable-speed compressor power sensor for variable refrigerant flow air conditioning system Y Guo, G Li, H Chen, Y Hu, L Shen, H Li, M Hu, J Li International Journal of Refrigeration 74, 73-85, 2017 | 33 | 2017 |
