A Subspace Identification Method for Detecting Abnormal Behavior in HVAC Systems
Joint Authors
Sklavounos, Dimitris
Zervas, Evangelos
Tsakiridis, Odysseas
Stonham, John
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A method for the detection of abnormal behavior in HVAC systems is presented.
The method combines deterministic subspace identification for each zone independently to create a system model that produces the anticipated zone’s temperature and the sequential test CUSUM algorithm to detect drifts of the rate of change of the difference between the real and the anticipated measurements.
Simulation results regarding the detection of infiltration heat losses and the detection of exogenous heat gains such as fire demonstrate the effectiveness of the proposed method.
American Psychological Association (APA)
Sklavounos, Dimitris& Zervas, Evangelos& Tsakiridis, Odysseas& Stonham, John. 2015. A Subspace Identification Method for Detecting Abnormal Behavior in HVAC Systems. Journal of Energy،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1068171
Modern Language Association (MLA)
Sklavounos, Dimitris…[et al.]. A Subspace Identification Method for Detecting Abnormal Behavior in HVAC Systems. Journal of Energy No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1068171
American Medical Association (AMA)
Sklavounos, Dimitris& Zervas, Evangelos& Tsakiridis, Odysseas& Stonham, John. A Subspace Identification Method for Detecting Abnormal Behavior in HVAC Systems. Journal of Energy. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1068171
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1068171