Automatic feature selection using multiobjective cluster optimization for fault detection in a heating ventilation and air conditioning system

Proceedings - 1st International Conference on Artificial Intelligence, Modelling and Simulation, AIMS 2013

Volumn , Issue , 2014, Pages 171-176

  Yuwono, Mitchell ^a   Su, Steven W ^a   Guo, Ying ^b   Li, Jiaming ^b   West, Sam ^b   Wall, Josh ^b  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b CSIRO   (Australia)

Author keywords

Automatic Fault Detection and Diagnostics; Feature selection; Heating ventilation and air conditioning; Multiobjective clustering

Indexed keywords

FAULT DETECTION; FEATURE EXTRACTION; HEAT PUMP SYSTEMS; HEATING; HVAC; VENTILATION;

AUTOMATIC FAULT DETECTION; AUTOMATIC FEATURE SELECTION; CENTROID ESTIMATION; COMPLEX BUILDINGS; FAULT DATA; HEATING VENTILATION AND AIR CONDITIONING; MULTI OBJECTIVE; MULTI-OBJECTIVE CLUSTERING;

AIR CONDITIONING;

EID: 84917691351     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIMS.2013.34     Document Type: Conference Paper

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