Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4125
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dc.contributor.authorZheng, Binyu.en_US
dc.date.accessioned2008-09-17T09:45:02Z-
dc.date.available2008-09-17T09:45:02Z-
dc.date.copyright2006en_US
dc.date.issued2006-
dc.identifier.urihttp://hdl.handle.net/10356/4125-
dc.description.abstractIn this thesis, a knowledge-based fault detection and diagnosis scheme for the Air Handling Unit (AHU) system is proposed on the basis of Building Automation System (BAS). The diagnosis functions of the knowledge-based system are based on the characteristics of AHU system and the fault may be detected by comparing the actual measured data with the prediction from the historical data.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems-
dc.titleKnowledge-based fault detection and diagnosis for AHU systemen_US
dc.typeThesisen_US
dc.contributor.supervisorCai, Wenjianen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Computer Control and Automation)en_US
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