Lecturer (higher education)
Supervisor of Master's Candidates
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Affiliation of Author(s):University of Connecticut
Journal:in Proceedings of the 2017 IEEE Conference on Automation Science and Engineering
Funded by:National Science Foundation under Grant CCF-1331850
Key Words:Fault diagnosis, fan, variable air volume box, online hidden Markov model, gray-box model, autoregre
Abstract:Supply/return fans and Variable Air Volume (VAV)
boxes are key components of Heating Ventilation and Air
Conditioning (HVAC) systems. Fans deliver conditioned air to
rooms and VAV boxes control airflow rates to satisfy human
thermal comfort and ventilation requirements. Faults in these
components and their sensors may lead to high energy
consumption and poor thermal comfort. Identifying failure
modes and their severities is thus critical in guiding maintenance
crew to know what, where and how severe the faults are.
Diagnosing faults of components and sensors is difficult because
(1) component
All the Authors:Peter B. Luh,Krishna R. Pattipati
First Author:Ying Yan
Indexed by:Journal paper
Discipline:Engineering
First-Level Discipline:Control Science and Engineering
Document Type:C
Translation or Not:no
Date of Publication:2017-05-07
Included Journals:SCI
Attachments:
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