TY - GEN
T1 - Using Markov reward model for decision making in the choice of optimal type of traction electric motor for icebreaking ship
AU - Bolvashenkov, Igor
AU - Herzog, Hans Georg
AU - Frenkel, Ilia
AU - Khvatskin, Lev
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/5/21
Y1 - 2018/5/21
N2 - 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.
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.
KW - Markov reward model
KW - decision making
KW - electric propulsion system
KW - icebreaking ship
KW - multi-state system
KW - reliability associated cost
KW - traction electric motor
UR - http://www.scopus.com/inward/record.url?scp=85048595287&partnerID=8YFLogxK
U2 - 10.1109/EVER.2018.8362380
DO - 10.1109/EVER.2018.8362380
M3 - Conference contribution
AN - SCOPUS:85048595287
T3 - 2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018
SP - 1
EP - 6
BT - 2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018
Y2 - 10 April 2018 through 12 April 2018
ER -
