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Physics-based methods of failure analysis and diagnostics in human space flight: machine learning and knowledge discovery for engineering systems health management

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Physics-based methods of failure analysis and diagnostics in human space flight: machine learning and knowledge discovery for engineering systems health management. / Smelyanskiy, Vadim N.; Luchinsky, Dmitrii; Hafiychuk, Vasyl V. et al.
Machine learning and knowledge discovery for engineering systems health management. ed. / Jiawei Han. Chapman and Hall/CRC Press, 2011. p. 245-284 (Chapman and Hall CRC Data Mining and Knowledge Discovery Series).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Smelyanskiy, VN, Luchinsky, D, Hafiychuk, VV, Osipov, VV, Kulikov, I & Patterson-Hine, A 2011, Physics-based methods of failure analysis and diagnostics in human space flight: machine learning and knowledge discovery for engineering systems health management. in J Han (ed.), Machine learning and knowledge discovery for engineering systems health management. Chapman and Hall CRC Data Mining and Knowledge Discovery Series, Chapman and Hall/CRC Press, pp. 245-284. https://doi.org/10.1201/b11580-11

APA

Smelyanskiy, V. N., Luchinsky, D., Hafiychuk, V. V., Osipov, V. V., Kulikov, I., & Patterson-Hine, A. (2011). Physics-based methods of failure analysis and diagnostics in human space flight: machine learning and knowledge discovery for engineering systems health management. In J. Han (Ed.), Machine learning and knowledge discovery for engineering systems health management (pp. 245-284). (Chapman and Hall CRC Data Mining and Knowledge Discovery Series). Chapman and Hall/CRC Press. https://doi.org/10.1201/b11580-11

Vancouver

Smelyanskiy VN, Luchinsky D, Hafiychuk VV, Osipov VV, Kulikov I, Patterson-Hine A. Physics-based methods of failure analysis and diagnostics in human space flight: machine learning and knowledge discovery for engineering systems health management. In Han J, editor, Machine learning and knowledge discovery for engineering systems health management. Chapman and Hall/CRC Press. 2011. p. 245-284. (Chapman and Hall CRC Data Mining and Knowledge Discovery Series). doi: 10.1201/b11580-11

Author

Smelyanskiy, Vadim N. ; Luchinsky, Dmitrii ; Hafiychuk, Vasyl V. et al. / Physics-based methods of failure analysis and diagnostics in human space flight : machine learning and knowledge discovery for engineering systems health management. Machine learning and knowledge discovery for engineering systems health management. editor / Jiawei Han. Chapman and Hall/CRC Press, 2011. pp. 245-284 (Chapman and Hall CRC Data Mining and Knowledge Discovery Series).

Bibtex

@inbook{c270b66de7354862b10b5200e1f17cc2,
title = "Physics-based methods of failure analysis and diagnostics in human space flight: machine learning and knowledge discovery for engineering systems health management",
author = "Smelyanskiy, {Vadim N.} and Dmitrii Luchinsky and Hafiychuk, {Vasyl V.} and Osipov, {Viatcheslav V.} and Igor Kulikov and Ann Patterson-Hine",
year = "2011",
doi = "10.1201/b11580-11",
language = "English",
isbn = "9781439841785",
series = "Chapman and Hall CRC Data Mining and Knowledge Discovery Series",
publisher = "Chapman and Hall/CRC Press",
pages = "245--284",
editor = "Jiawei Han",
booktitle = "Machine learning and knowledge discovery for engineering systems health management",

}

RIS

TY - CHAP

T1 - Physics-based methods of failure analysis and diagnostics in human space flight

T2 - machine learning and knowledge discovery for engineering systems health management

AU - Smelyanskiy, Vadim N.

AU - Luchinsky, Dmitrii

AU - Hafiychuk, Vasyl V.

AU - Osipov, Viatcheslav V.

AU - Kulikov, Igor

AU - Patterson-Hine, Ann

PY - 2011

Y1 - 2011

U2 - 10.1201/b11580-11

DO - 10.1201/b11580-11

M3 - Chapter

SN - 9781439841785

T3 - Chapman and Hall CRC Data Mining and Knowledge Discovery Series

SP - 245

EP - 284

BT - Machine learning and knowledge discovery for engineering systems health management

A2 - Han, Jiawei

PB - Chapman and Hall/CRC Press

ER -