Performance Availability Assessment of Combined Multi Power Source Traction Drive Considering Real Operational Conditions
References
- 1. Bolvashenkov, I., Herzog, H.-G. (2016) Use of Stochastic Models for Operational Efficiency Analysis of Multi Power Source Traction Drives. In: Proceedings of the Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO’16), Ilia Frenkel and Anatoly Lisnianski (eds.), Beer Sheva, Israel, February 15-18, (2016) pp 124 - 130, IEEE CPS, 978-1-4673-9941-8/16, DOI 10.1109/SMRLO.2016.30
- 2. Bolvashenkov, I., Herzog, H.-G., Rubinraut, A., Romanovskiy, V. (2014) Possible Ways to Improve the Efficiency and Competitiveness of Modern Ships with Electric Propulsion Systems. In: (2014) IEEE Vehicle Power and Propulsion Conference (VPPC), Coimbra, Portugal, October 27-30, (2014), IEEE, pp. 1-9. DOI 10.1109/VPPC.2014.7007120
- 3. Lisnianski, A. (2012) Lz-transform for a Discrete-state Continuous-time Markov Process and its Application to Multi-state System Reliability. In: Recent Advances in System Reliability. Signatures, Multi-state Systems and Statistical Inference. A. Lisnianski and I. Frenkel, Eds. London: Springer, 2012, pp. 79-95.
- 4. Lisnianski, A., Frenkel, I. and Ding, Y. (2010) Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers. London: Springer.
- 5. Ushakov, I. (1986) A Universal Generating Function. Soviet Journal of Computer and System Sciences, vol. 24, pp. 37-49.
Language: English
Page range: 179 - 191
Published on: Jun 28, 2016
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
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© 2016 Ilia Frenkel, Igor Bolvashenkov, Hans-Georg Herzog, Lev Khvatskin, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.