| 1 |
A proactive fault detection and diagnosis method for variable-air-volume terminals in building air conditioning systems
Zhao Y, Li TT, Fan C, Lu JC, Zhang XJ, Zhang CB, Chen SQ
Energy and Buildings, 183, 527, 2019 |
| 2 |
Predication control for indoor temperature time-delay using Elman neural network in variable air volume system
Li XM, Zhao TY, Zhang JL, Chen TT
Energy and Buildings, 154, 545, 2017 |
| 3 |
Demand control ventilation: Influence of terminal box minimum airflow setting on system energy use
Zhang B, Li YH, Lau J, Liu MS
Energy and Buildings, 79, 173, 2014 |
| 4 |
A robust fault detection and diagnosis strategy for pressure-independent VAV terminals of real office buildings
Wang HT, Chen YM, Chan CWH, Qin JY
Energy and Buildings, 43(7), 1774, 2011 |
| 5 |
A fault detection and diagnosis strategy of VAV air-conditioning systems for improved energy and control performances
Qin HY, Wang SW
Energy and Buildings, 37(10), 1035, 2005 |
| 6 |
Sensor fault detection and validation of VAV terminals in air conditioning systems
Wang SW, Qin JY
Energy Conversion and Management, 46(15-16), 2482, 2005 |
