Standard
Fault diagnostics and evaluation in cryogenic loading system using optimization algorithm. / Ponizovskaya-Devine, Ekaterina
; Luchinsky, Dmitry G.; Kodali, Anu et al.
PHM 2015 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2015. ed. / Matthew J. Daigle; Anibal Bregon. Vol. 6 Prognostics and Health Management Society 2015, 2015. p. 21-29 (Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Ponizovskaya-Devine, E
, Luchinsky, DG, Kodali, A, Khasin, M, Timucin, D, Sass, J, Perotti, J & Brown, B 2015,
Fault diagnostics and evaluation in cryogenic loading system using optimization algorithm. in MJ Daigle & A Bregon (eds),
PHM 2015 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2015. vol. 6, Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM, Prognostics and Health Management Society 2015, pp. 21-29, 2015 Annual Conference of the Prognostics and Health Management Society, PHM 2015, San Diego, United States,
18/10/15. <
http://www.phmsociety.org/node/1737/>
APA
Ponizovskaya-Devine, E.
, Luchinsky, D. G., Kodali, A., Khasin, M., Timucin, D., Sass, J., Perotti, J., & Brown, B. (2015).
Fault diagnostics and evaluation in cryogenic loading system using optimization algorithm. In M. J. Daigle, & A. Bregon (Eds.),
PHM 2015 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2015 (Vol. 6, pp. 21-29). (Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM). Prognostics and Health Management Society 2015.
http://www.phmsociety.org/node/1737/Vancouver
Author
Bibtex
@inproceedings{4e5f41da1e7d407bb3d3567115240045,
title = "Fault diagnostics and evaluation in cryogenic loading system using optimization algorithm",
abstract = "Physics-based approach to the cryogenic flow health management is presented. It is based on fast and time-accurate physics models of the cryogenic flow in the transfer line. We discuss main features of one of these models - the homogeneous moving front model - and presents results of its validation. The main steps of the approach including fault detection, identification, and evaluation are discussed. A few examples of faults are presented. It is shown that dynamic features of the faults naturally form a number of ambiguity groups. A D-matrix approach to optimized identification of these faults is briefly outlined. An example of discerning and evaluating faults within one ambiguity group using optimization algorithm is considered in more details. An application of this approach to the Integrated Health Management of cryogenic loading is discussed.",
author = "Ekaterina Ponizovskaya-Devine and Luchinsky, {Dmitry G.} and Anu Kodali and Michael Khasin and Dogan Timucin and Jarred Sass and Jose Perotti and Barbara Brown",
year = "2015",
month = jan,
day = "1",
language = "English",
volume = "6",
series = "Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM",
publisher = "Prognostics and Health Management Society 2015",
pages = "21--29",
editor = "Daigle, {Matthew J.} and Anibal Bregon",
booktitle = "PHM 2015 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2015",
note = "2015 Annual Conference of the Prognostics and Health Management Society, PHM 2015 ; Conference date: 18-10-2015 Through 22-10-2015",
}
RIS
TY - GEN
T1 - Fault diagnostics and evaluation in cryogenic loading system using optimization algorithm
AU - Ponizovskaya-Devine, Ekaterina
AU - Luchinsky, Dmitry G.
AU - Kodali, Anu
AU - Khasin, Michael
AU - Timucin, Dogan
AU - Sass, Jarred
AU - Perotti, Jose
AU - Brown, Barbara
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Physics-based approach to the cryogenic flow health management is presented. It is based on fast and time-accurate physics models of the cryogenic flow in the transfer line. We discuss main features of one of these models - the homogeneous moving front model - and presents results of its validation. The main steps of the approach including fault detection, identification, and evaluation are discussed. A few examples of faults are presented. It is shown that dynamic features of the faults naturally form a number of ambiguity groups. A D-matrix approach to optimized identification of these faults is briefly outlined. An example of discerning and evaluating faults within one ambiguity group using optimization algorithm is considered in more details. An application of this approach to the Integrated Health Management of cryogenic loading is discussed.
AB - Physics-based approach to the cryogenic flow health management is presented. It is based on fast and time-accurate physics models of the cryogenic flow in the transfer line. We discuss main features of one of these models - the homogeneous moving front model - and presents results of its validation. The main steps of the approach including fault detection, identification, and evaluation are discussed. A few examples of faults are presented. It is shown that dynamic features of the faults naturally form a number of ambiguity groups. A D-matrix approach to optimized identification of these faults is briefly outlined. An example of discerning and evaluating faults within one ambiguity group using optimization algorithm is considered in more details. An application of this approach to the Integrated Health Management of cryogenic loading is discussed.
M3 - Conference contribution/Paper
AN - SCOPUS:85016126593
VL - 6
T3 - Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
SP - 21
EP - 29
BT - PHM 2015 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2015
A2 - Daigle, Matthew J.
A2 - Bregon, Anibal
PB - Prognostics and Health Management Society 2015
T2 - 2015 Annual Conference of the Prognostics and Health Management Society, PHM 2015
Y2 - 18 October 2015 through 22 October 2015
ER -
