Dongkyu Lee
Green City R&D Team, R&D Division, Hyundai Engineering and Construction Company, South Korea
Byoungdoo Lee
Green City R&D Team, R&D Division, Hyundai Engineering and Construction Company, South Korea
Jin Woo Shin
Department of Electrical Engineering, KAIST, South Korea
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http://dx.doi.org/10.3384/ecp15118615Ingår i: Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015
Linköping Electronic Conference Proceedings 118:66, s. 615-623
The air handling unit (AHU) is the main component of heating, ventilation and air-conditioning (HVAC) systems, and irregular faults in AHUs are major sources of energy consumption. For energy efficient operation of HVAC, this paper aims to detect and diagnose three abnormal states in the AHU with the popular deep learning model, called Deep Belief Network (DBN), where we train it using various data generated by Modelica.
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