A health management framework for Environmental Control Systems

Ioannis A. Raptis; George J. Vachtsevanos

doi:10.1109/MED.2011.5983078

A health management framework for Environmental Control Systems

Ioannis A. Raptis, George J. Vachtsevanos

School of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Maintenance of critical or/complex systems has recently moved from traditional preventive maintenance to Condition Based Maintenance (CBM) exploiting the advances both in hardware (sensors / DAQ cards, etc) and in software (sophisticated algorithms blending together the state of the art in signal processing and pattern analysis). Along this path, Environmental Control Systems and other critical systems/processes can be improved based on concepts of anomaly detection and fault diagnosis are presented in this paper. The enabling technologies borrow from the fields of modeling, data processing, Bayesian estimation theory and in particular a technique called particle filtering. The efficiency of the diagnostic approach is demonstrated via simulation results.

Original language	English
Title of host publication	2011 19th Mediterranean Conference on Control and Automation, MED 2011
Pages	964-969
Number of pages	6
DOIs	https://doi.org/10.1109/MED.2011.5983078
State	Published - 2011
Externally published	Yes
Event	2011 19th Mediterranean Conference on Control and Automation, MED 2011 - Corfu, Greece Duration: Jun 20 2011 → Jun 23 2011

Publication series

Name	2011 19th Mediterranean Conference on Control and Automation, MED 2011

Conference

Conference	2011 19th Mediterranean Conference on Control and Automation, MED 2011
Country/Territory	Greece
City	Corfu
Period	06/20/11 → 06/23/11

Access to Document

10.1109/MED.2011.5983078

Cite this

@inproceedings{38b6a799f8864f1487579c0ec6555ea6,

title = "A health management framework for Environmental Control Systems",

abstract = "Maintenance of critical or/complex systems has recently moved from traditional preventive maintenance to Condition Based Maintenance (CBM) exploiting the advances both in hardware (sensors / DAQ cards, etc) and in software (sophisticated algorithms blending together the state of the art in signal processing and pattern analysis). Along this path, Environmental Control Systems and other critical systems/processes can be improved based on concepts of anomaly detection and fault diagnosis are presented in this paper. The enabling technologies borrow from the fields of modeling, data processing, Bayesian estimation theory and in particular a technique called particle filtering. The efficiency of the diagnostic approach is demonstrated via simulation results.",

author = "Raptis, \{Ioannis A.\} and Vachtsevanos, \{George J.\}",

year = "2011",

doi = "10.1109/MED.2011.5983078",

language = "English",

isbn = "9781457701252",

series = "2011 19th Mediterranean Conference on Control and Automation, MED 2011",

pages = "964--969",

booktitle = "2011 19th Mediterranean Conference on Control and Automation, MED 2011",

note = "2011 19th Mediterranean Conference on Control and Automation, MED 2011 ; Conference date: 20-06-2011 Through 23-06-2011",

}

Raptis, IA & Vachtsevanos, GJ 2011, A health management framework for Environmental Control Systems. in 2011 19th Mediterranean Conference on Control and Automation, MED 2011., 5983078, 2011 19th Mediterranean Conference on Control and Automation, MED 2011, pp. 964-969, 2011 19th Mediterranean Conference on Control and Automation, MED 2011, Corfu, Greece, 06/20/11. https://doi.org/10.1109/MED.2011.5983078

A health management framework for Environmental Control Systems. / Raptis, Ioannis A.; Vachtsevanos, George J.
2011 19th Mediterranean Conference on Control and Automation, MED 2011. 2011. p. 964-969 5983078 (2011 19th Mediterranean Conference on Control and Automation, MED 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Vachtsevanos, George J.

PY - 2011

Y1 - 2011

N2 - Maintenance of critical or/complex systems has recently moved from traditional preventive maintenance to Condition Based Maintenance (CBM) exploiting the advances both in hardware (sensors / DAQ cards, etc) and in software (sophisticated algorithms blending together the state of the art in signal processing and pattern analysis). Along this path, Environmental Control Systems and other critical systems/processes can be improved based on concepts of anomaly detection and fault diagnosis are presented in this paper. The enabling technologies borrow from the fields of modeling, data processing, Bayesian estimation theory and in particular a technique called particle filtering. The efficiency of the diagnostic approach is demonstrated via simulation results.

AB - Maintenance of critical or/complex systems has recently moved from traditional preventive maintenance to Condition Based Maintenance (CBM) exploiting the advances both in hardware (sensors / DAQ cards, etc) and in software (sophisticated algorithms blending together the state of the art in signal processing and pattern analysis). Along this path, Environmental Control Systems and other critical systems/processes can be improved based on concepts of anomaly detection and fault diagnosis are presented in this paper. The enabling technologies borrow from the fields of modeling, data processing, Bayesian estimation theory and in particular a technique called particle filtering. The efficiency of the diagnostic approach is demonstrated via simulation results.

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U2 - 10.1109/MED.2011.5983078

DO - 10.1109/MED.2011.5983078

M3 - Conference contribution

SN - 9781457701252

T3 - 2011 19th Mediterranean Conference on Control and Automation, MED 2011

SP - 964

EP - 969

BT - 2011 19th Mediterranean Conference on Control and Automation, MED 2011

T2 - 2011 19th Mediterranean Conference on Control and Automation, MED 2011

Y2 - 20 June 2011 through 23 June 2011

ER -

A health management framework for Environmental Control Systems

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