Affiliation of Author(s):University of Connecticut

Journal:in Proceedings of the 2016 IEEE Conference on Automation Science and Engineering

Funded by:National Science Foundation under Grant CCF-1331850

Key Words:Air handling unit, fault diagnosis, cooling coil, fan, variable air volume, coupled factorial hidden

Abstract:As major modules of Heating, Ventilation and Air
Conditioning (HVAC) systems, Air Handling Units (AHUs) and
Variable Air Volume (VAV) boxes are used to condition and
circulate air to rooms. To save energy and satisfy human
comfort and ventilation requirements, accurately and timely
diagnosing their faults is critical. The problem, however, is
challenging since (1) Hidden Markov Models (HMMs) can
capture coupling among components, but many states are
required to represent failure modes and fault severities; and (2)
diagnosing faults of many VAV boxes leads to high
computational requirements. In

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:2016-05-07

Included Journals:SCI

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