[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]Search in Google Scholar
[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]Search in Google Scholar
[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.]Search in Google Scholar
[4. Lisnianski, A., Frenkel, I. and Ding, Y. (2010) Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers. London: Springer.10.1007/978-1-84996-320-6]Search in Google Scholar
[5. Ushakov, I. (1986) A Universal Generating Function. Soviet Journal of Computer and System Sciences, vol. 24, pp. 37-49.]Search in Google Scholar
