Robust fault tolerant application for HVAC system based on combination of online SVM and ANN black box model

2013 European Control Conference, ECC 2013

Volumn , Issue , 2013, Pages 2976-2981

  Dehestani, D ^a   Su, S ^a   Nguyen, H ^a   Guo, Y ^b  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AIR CONDITIONING; COST EFFECTIVENESS; COST REDUCTION; HVAC; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); SUPPORT VECTOR MACHINES;

ACCURATE MODELING; ARTIFICIAL NEURAL NETWORK MODELS; CAPACITY UTILIZATION RATE; DETECTION PROBABILITIES; DIMENSION REDUCTION; FAULT DETECTION AND ISOLATION; FAULT-TOLERANT APPLICATIONS; ONLINE SUPPORT VECTOR MACHINES;

FAULT DETECTION;

EID: 84893214709     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/ecc.2013.6669140     Document Type: Conference Paper

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