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

Associate Professorship of Energy Conversion Technology

Technical University of Munich

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

25 Scopus citations

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.

Original language	English
Title of host publication	5th International Conference on Clean Electrical Power
Subtitle of host publication	Renewable Energy Resources Impact, ICCEP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	486-492
Number of pages	7
ISBN (Electronic)	9781479987047
DOIs	https://doi.org/10.1109/ICCEP.2015.7177561
State	Published - 4 Aug 2015
Event	5th International Conference on Clean Electrical Power, ICCEP 2015 - Taormina, Italy Duration: 16 Jun 2015 → 18 Jun 2015

Publication series

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

Conference

Conference	5th International Conference on Clean Electrical Power, ICCEP 2015
Country/Territory	Italy
City	Taormina
Period	16/06/15 → 18/06/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Markov process
electric drive
multi-state system reliability
predictive analysis
stochastic model

Access to Document

10.1109/ICCEP.2015.7177561

Cite this

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 (pp. 486-492). Article 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. pp. 486-492 (5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015).

@inproceedings{f2b4d5821d5a40c2a51f56381d38d2f1,

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., pp. 486-492, 5th International Conference on Clean Electrical Power, ICCEP 2015, Taormina, Italy, 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. p. 486-492 7177561 (5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015).

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

TY - GEN

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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

UR - https://www.scopus.com/pages/publications/84946601152

U2 - 10.1109/ICCEP.2015.7177561

DO - 10.1109/ICCEP.2015.7177561

M3 - Conference contribution

AN - SCOPUS:84946601152

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. p. 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

Publication series

Conference

UN SDGs

Keywords

Access to Document

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