Data partitioning and association mining for identifying VRF energy consumption patterns under various part loads and refrigerant charge conditionsGuannan Li, Miao Sun, Min Hu et al.|Applied Energy|2016Cited by 99
An improved decision tree-based fault diagnosis method for practical variable refrigerant flow system using virtual sensor-based fault indicatorsGuannan Li, Jiong Li, Jiangyan Liu et al.|Applied Thermal Engineering|2017Cited by 91
An enhanced PCA method with Savitzky-Golay method for VRF system sensor fault detection and diagnosisYabin Guo, Wenju Hu, Haorong Li et al.|Energy and Buildings|2017Cited by 87
A sensor fault detection and diagnosis strategy for screw chiller system using support vector data description-based D-statistic and DV-contribution plotsGuannan Li, Wenju Hu, Shubiao Shi et al.|Energy and Buildings|2016Cited by 77
An efficient VRF system fault diagnosis strategy for refrigerant charge amount based on PCA and dual neural network modelShubiao Shi, Shaobo Sun, Xiaoyan Wang et al.|Applied Thermal Engineering|2017Cited by 57