Hua Han

Least squares support vector machine (LS-SVM)-based chiller fault diagnosis using fault indicative features

Hua Han, Xiaoyu Cui, Yuqiang Fan et al. · Applied Thermal Engineering · 2019 · 196 citations

Fault Diagnosis, Reliability Engineering, Fault Indicative Features +9

Important sensors for chiller fault detection and diagnosis (FDD) from the perspective of feature selection and machine learning

Hua Han, Bin Gu, Tianle Wang et al. · International Journal of Refrigeration · 2010 · 127 citations

Fault Diagnosis, Condition Monitoring, Reliability Engineering +14

Study on a hybrid SVM model for chiller FDD applications

Hua Han, Bin Gu, Jia Kang et al. · Applied Thermal Engineering · 2010 · 120 citations

Engineering, Computer Engineering, Hybrid Svm Model +4

PCA-SVM-Based Automated Fault Detection and Diagnosis (AFDD) for Vapor-Compression Refrigeration Systems

Hua Han, Zhikun Cao, Bo Gu et al. · HVAC&R Research · 2010 · 114 citations

Fault Diagnosis, Engineering, Machine Learning +20

Automated FDD of multiple-simultaneous faults (MSF) and the application to building chillers

Hua Han, Bo Gu, Yingchun Hong et al. · Energy and Buildings · 2011 · 91 citations

Reliability Engineering, Engineering, Fault Detection +10