Using Markov reward model for decision making in the choice of optimal type of traction electric motor for icebreaking ship

Igor Bolvashenkov; Hans Georg Herzog; Ilia Frenkel; Lev Khvatskin

doi:10.1109/EVER.2018.8362380

Using Markov reward model for decision making in the choice of optimal type of traction electric motor for icebreaking ship

Igor Bolvashenkov, Hans Georg Herzog, Ilia Frenkel, Lev Khvatskin

Professur für Energiewandlungstechnik

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

2 Zitate (Scopus)

Abstract

The paper presents the Markov reward approach to the comparative analysis of different types of traction electric motors for assessment the reliability associated cost of the ships' hybrid-electric propulsion systems. The preliminary results show that there are several appropriate machine types and it is necessary to decide, which kind of equipment has to be defined in advance for application respectively. In the paper, the Markov reward approach was developed for computing of average availability and the entire reliability associated cost, considering vehicle operational conditions and aging process of electric motors. Based on the obtained results of simulation, the decision about optimal type of traction electric motor for an icebreaking ships has been suggested.

Originalsprache	Englisch
Titel	2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
Seiten	1-6
Seitenumfang	6
ISBN (elektronisch)	9781538659663
DOIs	https://doi.org/10.1109/EVER.2018.8362380
Publikationsstatus	Veröffentlicht - 21 Mai 2018
Veranstaltung	13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018 - Monte Carlo, Monaco Dauer: 10 Apr. 2018 → 12 Apr. 2018

Publikationsreihe

Name	2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018

Konferenz

Konferenz	13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018
Land/Gebiet	Monaco
Ort	Monte Carlo
Zeitraum	10/04/18 → 12/04/18

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Bolvashenkov, I., Herzog, H. G., Frenkel, I., & Khvatskin, L. (2018). Using Markov reward model for decision making in the choice of optimal type of traction electric motor for icebreaking ship. in 2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018 (S. 1-6). (2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EVER.2018.8362380

Bolvashenkov, Igor ; Herzog, Hans Georg ; Frenkel, Ilia et al. / Using Markov reward model for decision making in the choice of optimal type of traction electric motor for icebreaking ship. 2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018. Institute of Electrical and Electronics Engineers Inc., 2018. S. 1-6 (2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018).

@inproceedings{c25faf74cbcb4bac93b1bbba2ba05148,

title = "Using Markov reward model for decision making in the choice of optimal type of traction electric motor for icebreaking ship",

abstract = "The paper presents the Markov reward approach to the comparative analysis of different types of traction electric motors for assessment the reliability associated cost of the ships' hybrid-electric propulsion systems. The preliminary results show that there are several appropriate machine types and it is necessary to decide, which kind of equipment has to be defined in advance for application respectively. In the paper, the Markov reward approach was developed for computing of average availability and the entire reliability associated cost, considering vehicle operational conditions and aging process of electric motors. Based on the obtained results of simulation, the decision about optimal type of traction electric motor for an icebreaking ships has been suggested.",

keywords = "Markov reward model, decision making, electric propulsion system, icebreaking ship, multi-state system, reliability associated cost, traction electric motor",

author = "Igor Bolvashenkov and Herzog, {Hans Georg} and Ilia Frenkel and Lev Khvatskin",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018 ; Conference date: 10-04-2018 Through 12-04-2018",

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Bolvashenkov, I, Herzog, HG, Frenkel, I & Khvatskin, L 2018, Using Markov reward model for decision making in the choice of optimal type of traction electric motor for icebreaking ship. in 2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018. 2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018, Institute of Electrical and Electronics Engineers Inc., S. 1-6, 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018, Monte Carlo, Monaco, 10/04/18. https://doi.org/10.1109/EVER.2018.8362380

Using Markov reward model for decision making in the choice of optimal type of traction electric motor for icebreaking ship. / Bolvashenkov, Igor; Herzog, Hans Georg; Frenkel, Ilia et al.
2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018. Institute of Electrical and Electronics Engineers Inc., 2018. S. 1-6 (2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018).

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

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AU - Bolvashenkov, Igor

AU - Herzog, Hans Georg

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AB - The paper presents the Markov reward approach to the comparative analysis of different types of traction electric motors for assessment the reliability associated cost of the ships' hybrid-electric propulsion systems. The preliminary results show that there are several appropriate machine types and it is necessary to decide, which kind of equipment has to be defined in advance for application respectively. In the paper, the Markov reward approach was developed for computing of average availability and the entire reliability associated cost, considering vehicle operational conditions and aging process of electric motors. Based on the obtained results of simulation, the decision about optimal type of traction electric motor for an icebreaking ships has been suggested.

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Bolvashenkov I, Herzog HG, Frenkel I, Khvatskin L. Using Markov reward model for decision making in the choice of optimal type of traction electric motor for icebreaking ship. in 2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018. Institute of Electrical and Electronics Engineers Inc. 2018. S. 1-6. (2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018). doi: 10.1109/EVER.2018.8362380

Using Markov reward model for decision making in the choice of optimal type of traction electric motor for icebreaking ship

Abstract

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