Affiliation of Author(s):University of Connecticut

Journal:in Proceedings of 2014 IEEE Conference on Automation Science and Engineering

Funded by:National Science Foundation under Grant CCF-1331850

Key Words:HVAC, AHU, fault diagnosis, PCA, D-matrix

Abstract:As one of the major modules of Heating,
Ventilation and Air Conditioning systems (HVACs), the Air
Handling Unit (AHU) conditions the air and delivers it to rooms
to satisfy occupants’ comfort requirements. Fault diagnosis for
AHUs is challenging because the interactions among components
are complex. A fault may cause variations in variables of
different constituent components, thus making it difficult to
localize. To overcome this difficulty, in this paper, a model-based
and data-driven fault diagnosis method integrating the
Dependency-matrix (D-matrix) and Principal Component
Analysis (PCA)

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:2014-05-07

Included Journals:SCI

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