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The Lz-Transform Method for the Reliability and Fault Tolerance Assessment of Norilsk-Type Ship’s Diesel-Geared Traction Drives


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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, (SMRLO16), 15–18 February 2016, Beer Sheva, Israel, pp. 124–130.Search in Google Scholar

2. Bolvashenkov, I., Kammermann, J., Willerich, S., Herzog, H.G. (2016) Comparative Study of Reliability and Fault Tolerance of Multi-Phase Permanent Magnet Synchronous Motors for Safety-Critical Drive Trains. In: Proc. of the International Conference on Renewable Energies and Power Quality (ICREPQ16), 4–6 May 2016, Madrid, Spain, pp. 1–6.Search in Google Scholar

3. Frenkel, I., Bolvashenkov, I., Herzog, H.G., Khvatskin, L. (2016) Performance Availability Assessment of Combined Multi Power Source Traction Drive Considering Real Operational Conditions, Transport and Telecommunication, 17(3): 179–191.10.1515/ttj-2016-0016Search in Google Scholar

4. Frenkel, I., Bolvashenkov, I., Herzog, H.G., Khvatskin, L. (2017) Operational Sustainability Assessment of Multi Power Source Traction Drive. In: Ram M., Davim J.P. (Eds) Mathematics Applied to Engineering, Elsevier, London, pp. 191–203.Search in Google Scholar

5. Frenkel, I., Bolvashenkov, I., Herzog, H.G., Khvatskin, L. (2017) Lz-transform Approach for Fault Tolerance Assessment of Various Traction Drives Topologies of Hybrid-electric Helicopter. In: Lisnianski A., Frenkel I., Karagrigoriou A. (Eds) Recent Advances in Multistate System Reliability: Theory and Applications, Springer, London, pp 321–362.Search in Google Scholar

6. Jia, H., Jin, W., Ding, Y., Song, Y., Yu, D. (2017) Multi-state time-varying reliability evaluation of smart grid with flexible demand resources utilizing Lz transform. In: Proc. of the International Conference on Energy Engineering and Environmental Protection (EEEP2016), IOP Publishing, IOP Conf. Series: Earth and Environmental Science, vol 52.Search in Google Scholar

7. Lisnianski, A. (2012) Lz-transform for a Discrete-State Continuous-Time Markov Process and its Application to Multi-State Systems Reliability. In: Lisnianski A., Frenkel I. (Eds) Recent Advances in System Reliability: Signatures, Multi-state Systems and Statistical Inference, Springer, London, pp 79–95.10.1007/978-1-4471-2207-4_6Search in Google Scholar

8. Lisnianski, A., Frenkel, I., Ding, Y. (2010) Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers, Springer, London.10.1007/978-1-84996-320-6Search in Google Scholar

9. Natvig, B. (2011) Multistate Systems Reliability, Theory with Applications. Wiley, New York.10.1002/9780470977088Search in Google Scholar

10. Trivedi, K. (2002) Probability and Statistics with Reliability, Queuing and Computer Science Applications. Wiley, New York.Search in Google Scholar

11. Ushakov, I. (1986) A Universal Generating Function. Soviet Journal of Computer and System Sciences, 24: 37–49.Search in Google Scholar

12. Yu, H., Yang, J., Mo, H. (2014) Reliability analysis of repairable multi-state system with common bus performance sharing. Reliability Engineering and System Safety, 132: 90-96.10.1016/j.ress.2014.07.017Search in Google Scholar

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