1. A feature importance ranking based fault diagnosis method for variable-speed screw chiller. (25th January 2022) Authors: Lu, Hailong; Cui, Xiaoyu; Han, Hua; Fan, Yuqiang; Zhang, Yunqian Journal: Science and technology for the built environment Issue: Volume 28:Number 2(2022) Page Start: 137 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Chiller fault detection and diagnosis by knowledge transfer based on adaptive imbalanced processing. (13th September 2020) Authors: Fan, Yuqiang; Cui, Xiaoyu; Han, Hua; Lu, Hailong Journal: Science and technology for the built environment Issue: Volume 26:Number 8(2020) Page Start: 1082 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Chiller fault diagnosis with field sensors using the technology of imbalanced data. (August 2019) Authors: Fan, Yuqiang; Cui, Xiaoyu; Han, Hua; Lu, Hailong Journal: Applied thermal engineering Issue: Volume 159(2019) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Comparative study of probabilistic neural network and back propagation network for fault diagnosis of refrigeration systems. (21st April 2018) Authors: Liang, Qingqing; Han, Hua; Cui, Xiaoyu; Qing, Hong; Fan, Yuqiang Journal: Science and technology for the built environment Issue: Volume 24:Number 4(2018) Page Start: 448 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Evolution of coal molecular structure during constant current electro-oxidation of coal–water slurry in alkaline media. (1st August 2022) Authors: Fan, Yuqiang; Guan, Jun; He, Demin; Wang, Linfei; Zhang, Qiumin Journal: Fuel Issue: Volume 321(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Fault diagnosis for building chillers based on data self-production and deep convolutional neural network. (February 2021) Authors: Gao, Jiaqing; Han, Hua; Ren, Zhengxiong; Fan, Yuqiang Journal: Journal of building engineering Issue: Volume 34(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Feasibility and improvement of fault detection and diagnosis based on factory-installed sensors for chillers. (5th January 2020) Authors: Fan, Yuqiang; Cui, Xiaoyu; Han, Hua; Lu, Hailong Journal: Applied thermal engineering Issue: Volume 164(2019) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Least squares support vector machine (LS-SVM)-based chiller fault diagnosis using fault indicative features. (25th May 2019) Authors: Han, Hua; Cui, Xiaoyu; Fan, Yuqiang; Qing, Hong Journal: Applied thermal engineering Issue: Volume 154(2019) Page Start: 540 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Novel application of multi-model ensemble learning for fault diagnosis in refrigeration systems. (5th January 2020) Authors: Zhang, Zhan; Han, Hua; Cui, Xiaoyu; Fan, Yuqiang Journal: Applied thermal engineering Issue: Volume 164(2019) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Novel chiller fault diagnosis using deep neural network (DNN) with simulated annealing (SA). (January 2021) Authors: Han, Hua; Xu, Ling; Cui, Xiaoyu; Fan, Yuqiang Journal: International journal of refrigeration Issue: Volume 121(2021) Page Start: 269 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗