Affiliation of Author(s):University of Connecticut

Journal:in Proceedings of the Complex Systems Engineering (ICCSE) 2015

Funded by:National Science Foundation under Grant CCF-1331850

Key Words:Chiller plant, fault diagnosis, chiller, cooling tower, coupled hidden Markov model, extended Kalman

Abstract:As a major subsystem of Heating, Ventilation and
Air Conditioning systems (HVACs), a chiller plant provides
chilled water to remove heat from buildings. Faults in a chiller
plant can result in high energy consumption, and their early
diagnoses, including failure modes and fault severities, will lead
to significant energy savings. Fault diagnosis, however, is
challenging since (1) measured variables are noisy, depending on
many conditions, and may not be directly related to faults; (2) a
fault in one module (e.g., chiller and cooling tower) may trigger a
fault in another module (fault

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:2015-05-07

Included Journals:SCI

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