Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model

Igor Bolvashenkov; Hans Georg Herzog

doi:10.1109/ICCEP.2015.7177561

Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model

Igor Bolvashenkov, Hans Georg Herzog

Professur für Energiewandlungstechnik

TUM - Lehrstuhl für Architekturinformatik, Prof. Dr.-Ing. Frank Petzold

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

24 Zitate (Scopus)

Abstract

The paper presents an attempt to formulate a new approach to the problem of predictive assessment of the reliability indices of different types of electric vehicles based on a universal stochastic model of the operations of electric drive vehicle, which practically can be applied to implement of modern maintenance strategies for any kind of electrical transport to improve its reliability, safety and fault tolerance.

Originalsprache	Englisch
Titel	5th International Conference on Clean Electrical Power
Untertitel	Renewable Energy Resources Impact, ICCEP 2015
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
Seiten	486-492
Seitenumfang	7
ISBN (elektronisch)	9781479987047
DOIs	https://doi.org/10.1109/ICCEP.2015.7177561
Publikationsstatus	Veröffentlicht - 4 Aug. 2015
Veranstaltung	5th International Conference on Clean Electrical Power, ICCEP 2015 - Taormina, Italien Dauer: 16 Juni 2015 → 18 Juni 2015

Publikationsreihe

Name	5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015

Konferenz

Konferenz	5th International Conference on Clean Electrical Power, ICCEP 2015
Land/Gebiet	Italien
Ort	Taormina
Zeitraum	16/06/15 → 18/06/15

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Bolvashenkov, I., & Herzog, H. G. (2015). Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model. in 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015 (S. 486-492). Artikel 7177561 (5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCEP.2015.7177561

Bolvashenkov, Igor ; Herzog, Hans Georg. / Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model. 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015. Institute of Electrical and Electronics Engineers Inc., 2015. S. 486-492 (5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015).

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title = "Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model",

abstract = "The paper presents an attempt to formulate a new approach to the problem of predictive assessment of the reliability indices of different types of electric vehicles based on a universal stochastic model of the operations of electric drive vehicle, which practically can be applied to implement of modern maintenance strategies for any kind of electrical transport to improve its reliability, safety and fault tolerance.",

keywords = "Markov process, electric drive, multi-state system reliability, predictive analysis, stochastic model",

author = "Igor Bolvashenkov and Herzog, {Hans Georg}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th International Conference on Clean Electrical Power, ICCEP 2015 ; Conference date: 16-06-2015 Through 18-06-2015",

year = "2015",

month = aug,

day = "4",

doi = "10.1109/ICCEP.2015.7177561",

language = "English",

series = "5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "486--492",

booktitle = "5th International Conference on Clean Electrical Power",

}

Bolvashenkov, I & Herzog, HG 2015, Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model. in 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015., 7177561, 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015, Institute of Electrical and Electronics Engineers Inc., S. 486-492, 5th International Conference on Clean Electrical Power, ICCEP 2015, Taormina, Italien, 16/06/15. https://doi.org/10.1109/ICCEP.2015.7177561

Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model. / Bolvashenkov, Igor; Herzog, Hans Georg.
5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015. Institute of Electrical and Electronics Engineers Inc., 2015. S. 486-492 7177561 (5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model

AU - Bolvashenkov, Igor

AU - Herzog, Hans Georg

PY - 2015/8/4

Y1 - 2015/8/4

N2 - The paper presents an attempt to formulate a new approach to the problem of predictive assessment of the reliability indices of different types of electric vehicles based on a universal stochastic model of the operations of electric drive vehicle, which practically can be applied to implement of modern maintenance strategies for any kind of electrical transport to improve its reliability, safety and fault tolerance.

AB - The paper presents an attempt to formulate a new approach to the problem of predictive assessment of the reliability indices of different types of electric vehicles based on a universal stochastic model of the operations of electric drive vehicle, which practically can be applied to implement of modern maintenance strategies for any kind of electrical transport to improve its reliability, safety and fault tolerance.

KW - Markov process

KW - electric drive

KW - multi-state system reliability

KW - predictive analysis

KW - stochastic model

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DO - 10.1109/ICCEP.2015.7177561

M3 - Conference contribution

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T3 - 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015

SP - 486

EP - 492

BT - 5th International Conference on Clean Electrical Power

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Clean Electrical Power, ICCEP 2015

Y2 - 16 June 2015 through 18 June 2015

ER -

Bolvashenkov I, Herzog HG. Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model. in 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015. Institute of Electrical and Electronics Engineers Inc. 2015. S. 486-492. 7177561. (5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015). doi: 10.1109/ICCEP.2015.7177561

Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model

Abstract

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