| Title |
The Partial Fault Detection of an Air-Conditioning System by the Neural Network Algorithm using Normalized Input Data |
| Keywords |
Neural network algorithm ; 신경망 알고리즘 ; Fault detection system ; 고장 검출 시스템 ; Condenser fouling ; 응축기 오염 ; Evaporator fan fault ; 증발기 팬 고장 ; Standard deviation ; 표준편차 ; Normalized input data ; 정규화 입력 데이터 |
| Abstract |
The fault detection and diagnosis technology may be applied in order to decrease the energy consumption and the maintenance cost of the air-conditioning system. To detect partial faults of the air-conditioning system, a neural network algorithm may be used. In this study, the neural network algorithm using normalized input data by the standard deviation was applied. And the [7×10×10×1] neural network structure was selected. Test results showed that the neural network algorithm using normalized input data was very effective to detect the condenser fouling and the evaporator fan fault of an air-conditioning system. |