Methodology for determining the transition probabilities for multi-state system Markov models of fault tolerant electric vehicles

Igor Bolvashenkov; Jorg Kammermann; Hans Georg Herzog

doi:10.1109/ACEPT.2016.7811537

Methodology for determining the transition probabilities for multi-state system Markov models of fault tolerant electric vehicles

Igor Bolvashenkov, Jorg Kammermann, 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

8 Scopus citations

Abstract

This paper describes a new methodology and application case to determine quantitatively the transition probabilities for multi-state Markov models of the fault tolerant safety-critical drives of electric vehicles. The results of the study allow determining the transition probabilities for the multi-state system Markov models of the fault tolerance, considering real operational conditions of an electric traction drive. The investigation and discussion of fault tolerance of the traction drive of an electrical helicopter serve as application case. The proposed methodology can generally be used for the assessment of fault tolerance of safety-critical systems in compliance with the requirements of the project.

Original language	English
Title of host publication	2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509061730
DOIs	https://doi.org/10.1109/ACEPT.2016.7811537
State	Published - 9 Jan 2017
Event	2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016 - Singapore, Singapore Duration: 25 Oct 2016 → 27 Oct 2016

Publication series

Name	2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016

Conference

Conference	2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016
Country/Territory	Singapore
City	Singapore
Period	25/10/16 → 27/10/16

Keywords

degree of fault tolerance
electric vehicle
multistate Markov Model
safety-critical system
traction drive
transition probability

Access to Document

10.1109/ACEPT.2016.7811537

Cite this

Bolvashenkov, I., Kammermann, J., & Herzog, H. G. (2017). Methodology for determining the transition probabilities for multi-state system Markov models of fault tolerant electric vehicles. In 2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016 Article 7811537 (2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACEPT.2016.7811537

Bolvashenkov, Igor ; Kammermann, Jorg ; Herzog, Hans Georg. / Methodology for determining the transition probabilities for multi-state system Markov models of fault tolerant electric vehicles. 2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016. Institute of Electrical and Electronics Engineers Inc., 2017. (2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016).

@inproceedings{92d15b6ddbf74bb7b0e597ec46bd38ab,

title = "Methodology for determining the transition probabilities for multi-state system Markov models of fault tolerant electric vehicles",

abstract = "This paper describes a new methodology and application case to determine quantitatively the transition probabilities for multi-state Markov models of the fault tolerant safety-critical drives of electric vehicles. The results of the study allow determining the transition probabilities for the multi-state system Markov models of the fault tolerance, considering real operational conditions of an electric traction drive. The investigation and discussion of fault tolerance of the traction drive of an electrical helicopter serve as application case. The proposed methodology can generally be used for the assessment of fault tolerance of safety-critical systems in compliance with the requirements of the project.",

keywords = "degree of fault tolerance, electric vehicle, multistate Markov Model, safety-critical system, traction drive, transition probability",

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

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016 ; Conference date: 25-10-2016 Through 27-10-2016",

year = "2017",

month = jan,

day = "9",

doi = "10.1109/ACEPT.2016.7811537",

language = "English",

series = "2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016",

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

booktitle = "2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016",

}

Bolvashenkov, I, Kammermann, J & Herzog, HG 2017, Methodology for determining the transition probabilities for multi-state system Markov models of fault tolerant electric vehicles. in 2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016., 7811537, 2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016, Institute of Electrical and Electronics Engineers Inc., 2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016, Singapore, Singapore, 25/10/16. https://doi.org/10.1109/ACEPT.2016.7811537

Methodology for determining the transition probabilities for multi-state system Markov models of fault tolerant electric vehicles. / Bolvashenkov, Igor; Kammermann, Jorg; Herzog, Hans Georg.
2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7811537 (2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016).

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

TY - GEN

T1 - Methodology for determining the transition probabilities for multi-state system Markov models of fault tolerant electric vehicles

AU - Bolvashenkov, Igor

AU - Kammermann, Jorg

AU - Herzog, Hans Georg

PY - 2017/1/9

Y1 - 2017/1/9

N2 - This paper describes a new methodology and application case to determine quantitatively the transition probabilities for multi-state Markov models of the fault tolerant safety-critical drives of electric vehicles. The results of the study allow determining the transition probabilities for the multi-state system Markov models of the fault tolerance, considering real operational conditions of an electric traction drive. The investigation and discussion of fault tolerance of the traction drive of an electrical helicopter serve as application case. The proposed methodology can generally be used for the assessment of fault tolerance of safety-critical systems in compliance with the requirements of the project.

AB - This paper describes a new methodology and application case to determine quantitatively the transition probabilities for multi-state Markov models of the fault tolerant safety-critical drives of electric vehicles. The results of the study allow determining the transition probabilities for the multi-state system Markov models of the fault tolerance, considering real operational conditions of an electric traction drive. The investigation and discussion of fault tolerance of the traction drive of an electrical helicopter serve as application case. The proposed methodology can generally be used for the assessment of fault tolerance of safety-critical systems in compliance with the requirements of the project.

KW - degree of fault tolerance

KW - electric vehicle

KW - multistate Markov Model

KW - safety-critical system

KW - traction drive

KW - transition probability

UR - http://www.scopus.com/inward/record.url?scp=85012050851&partnerID=8YFLogxK

U2 - 10.1109/ACEPT.2016.7811537

DO - 10.1109/ACEPT.2016.7811537

M3 - Conference contribution

AN - SCOPUS:85012050851

T3 - 2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016

BT - 2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016

Y2 - 25 October 2016 through 27 October 2016

ER -

Bolvashenkov I, Kammermann J, Herzog HG. Methodology for determining the transition probabilities for multi-state system Markov models of fault tolerant electric vehicles. In 2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7811537. (2016 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2016). doi: 10.1109/ACEPT.2016.7811537

Methodology for determining the transition probabilities for multi-state system Markov models of fault tolerant electric vehicles

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this