Home > Research > Publications & Outputs > Bayesian framework for in-flight SRM data manag...

Links

Text available via DOI:

View graph of relations

Bayesian framework for in-flight SRM data management and decision support

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Bayesian framework for in-flight SRM data management and decision support. / Osipov, Slava V.; Luchinsky, Dmitry G.; Smelyanskiy, Vadim N. et al.
2007 IEEE Aerospace Conference Digest. IEEE, 2007. p. 1-16 4161688 (IEEE Aerospace Conference Proceedings).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Osipov, SV, Luchinsky, DG, Smelyanskiy, VN, Lee, SH, Kiris, C & Timucin, DA 2007, Bayesian framework for in-flight SRM data management and decision support. in 2007 IEEE Aerospace Conference Digest., 4161688, IEEE Aerospace Conference Proceedings, IEEE, pp. 1-16, 2007 IEEE Aerospace Conference, Big Sky, MT, United States, 3/03/07. https://doi.org/10.1109/AERO.2007.352950

APA

Osipov, S. V., Luchinsky, D. G., Smelyanskiy, V. N., Lee, S. H., Kiris, C., & Timucin, D. A. (2007). Bayesian framework for in-flight SRM data management and decision support. In 2007 IEEE Aerospace Conference Digest (pp. 1-16). Article 4161688 (IEEE Aerospace Conference Proceedings). IEEE. https://doi.org/10.1109/AERO.2007.352950

Vancouver

Osipov SV, Luchinsky DG, Smelyanskiy VN, Lee SH, Kiris C, Timucin DA. Bayesian framework for in-flight SRM data management and decision support. In 2007 IEEE Aerospace Conference Digest. IEEE. 2007. p. 1-16. 4161688. (IEEE Aerospace Conference Proceedings). doi: 10.1109/AERO.2007.352950

Author

Osipov, Slava V. ; Luchinsky, Dmitry G. ; Smelyanskiy, Vadim N. et al. / Bayesian framework for in-flight SRM data management and decision support. 2007 IEEE Aerospace Conference Digest. IEEE, 2007. pp. 1-16 (IEEE Aerospace Conference Proceedings).

Bibtex

@inproceedings{d026b6c7922c4e968f4897267c88bd1b,
title = "Bayesian framework for in-flight SRM data management and decision support",
abstract = "We report progress in the development of a novel Bayesian framework for an in-flight Failure Decision and Prognostic (FD&P) system for Solid Rocket Boosters (SRBs) based on a combination of low-dimensional performance models and a Bayesian framework for diagnostics and prognostics of the parameters of nonlinear flow of combustion products in the combustion chamber. To simulate faults we introduce high-fidelity models of these faults based on stochastic partial differential equations (SPDE). To infer parameters of the model, the SPDE is reduced to a low dimensional performance model (LDPM). It is shown by example of the nozzle blocking fault that using a novel Bayesian framework, it becomes possible both to infer the variations of SRB parameters stimulated by the fault and to predict values of the pressure and time of the overpressure fault even in the case of highly nonlinear fault dynamics. The extension of the method to the diagnostic and prognostic of the case burning fault is discussed.",
author = "Osipov, {Slava V.} and Luchinsky, {Dmitry G.} and Smelyanskiy, {Vadim N.} and Lee, {Sun Hwan} and Cetin Kiris and Timucin, {Dogan A.}",
year = "2007",
month = sep,
day = "24",
doi = "10.1109/AERO.2007.352950",
language = "English",
isbn = "1424405254",
series = "IEEE Aerospace Conference Proceedings",
publisher = "IEEE",
pages = "1--16",
booktitle = "2007 IEEE Aerospace Conference Digest",
note = "2007 IEEE Aerospace Conference ; Conference date: 03-03-2007 Through 10-03-2007",

}

RIS

TY - GEN

T1 - Bayesian framework for in-flight SRM data management and decision support

AU - Osipov, Slava V.

AU - Luchinsky, Dmitry G.

AU - Smelyanskiy, Vadim N.

AU - Lee, Sun Hwan

AU - Kiris, Cetin

AU - Timucin, Dogan A.

PY - 2007/9/24

Y1 - 2007/9/24

N2 - We report progress in the development of a novel Bayesian framework for an in-flight Failure Decision and Prognostic (FD&P) system for Solid Rocket Boosters (SRBs) based on a combination of low-dimensional performance models and a Bayesian framework for diagnostics and prognostics of the parameters of nonlinear flow of combustion products in the combustion chamber. To simulate faults we introduce high-fidelity models of these faults based on stochastic partial differential equations (SPDE). To infer parameters of the model, the SPDE is reduced to a low dimensional performance model (LDPM). It is shown by example of the nozzle blocking fault that using a novel Bayesian framework, it becomes possible both to infer the variations of SRB parameters stimulated by the fault and to predict values of the pressure and time of the overpressure fault even in the case of highly nonlinear fault dynamics. The extension of the method to the diagnostic and prognostic of the case burning fault is discussed.

AB - We report progress in the development of a novel Bayesian framework for an in-flight Failure Decision and Prognostic (FD&P) system for Solid Rocket Boosters (SRBs) based on a combination of low-dimensional performance models and a Bayesian framework for diagnostics and prognostics of the parameters of nonlinear flow of combustion products in the combustion chamber. To simulate faults we introduce high-fidelity models of these faults based on stochastic partial differential equations (SPDE). To infer parameters of the model, the SPDE is reduced to a low dimensional performance model (LDPM). It is shown by example of the nozzle blocking fault that using a novel Bayesian framework, it becomes possible both to infer the variations of SRB parameters stimulated by the fault and to predict values of the pressure and time of the overpressure fault even in the case of highly nonlinear fault dynamics. The extension of the method to the diagnostic and prognostic of the case burning fault is discussed.

U2 - 10.1109/AERO.2007.352950

DO - 10.1109/AERO.2007.352950

M3 - Conference contribution/Paper

AN - SCOPUS:34548760757

SN - 1424405254

SN - 9781424405251

T3 - IEEE Aerospace Conference Proceedings

SP - 1

EP - 16

BT - 2007 IEEE Aerospace Conference Digest

PB - IEEE

T2 - 2007 IEEE Aerospace Conference

Y2 - 3 March 2007 through 10 March 2007

ER -