@inproceedings{803c9d0cfc9a49b8b0ca888047a713e0,
title = "Reliability assessment of a fault tolerant propulsion system for an electrical helicopter",
abstract = "The paper describes an approach and a methodology of quantitative reliability assessment of fault tolerant propulsion systems for an electrical helicopter. As a comprehensive parameter for the assessment of fault tolerance of the components with a number of degradation states, it is proposed to use the criterion 'degree of fault tolerance'. On the basis of such a parameter the transition probabilities have been defined for the Multi-State System reliability Markov Models. The simulation and assessment results allow concluding, which power train topology complies best with the design requirements on the reliability and the future operational conditions of electrical helicopters.",
keywords = "Multi-State Markov Model, electrical helicopter, fault tolerance, multilevel inverter, reliability, traction multi-phase motor",
author = "Igor Bolvashenkov and Jorg Kammermann and Herzog, \{Hans Georg\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017 ; Conference date: 11-04-2017 Through 13-04-2017",
year = "2017",
month = may,
day = "30",
doi = "10.1109/EVER.2017.7935864",
language = "English",
series = "2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017",
}