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Failure intensity determination for system with standby doubling

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
PL
Wyznaczanie częstotliwości awarii systemów ze podwójną gotowością
Języki publikacji
EN
Abstrakty
EN
The paper is devoted to problem of failure intensity calculation for doubled repairable system with standby reduced redundancy. Failure intensity determination is suggested by using special method for extended Markov reliability model. The correctness for such approach is verified by Monte-Carlo method.
PL
W artykule opisano problem obliczania intensywności awarii zduplikowanych systemów o zredukowanej nadmiarowości. Zaproponowano nową metodę wyznaczania częstotliwości awarii przy pomocy rozszerzonego modelu niezawodności Markova. Prawidłowość zaproponowanej metody potwierdzono za pomocą metody Monte-Carlo.
Rocznik
Strony
160--162
Opis fizyczny
Bibliogr. 20 poz., rys.
Twórcy
autor
Bibliografia
  • [1] Stillman R. H. Power Line Maintenance with Minimal Repair and Replacement, Proc. Annual Reliability and Maintainability Symposium (RAMS’2003), San Jose, USA (2003), 541-545.
  • [2] Radmer D. T., et al . Predicting Vegetation-related Failure Rates for Overhead Distribution Feeders, IEEE Trans. on Power Delivery, 14 (2002), No 4, 1170-1175.
  • [3] Henley E. J., Hiromitsu Kumamoto. Reliability Engineering and Risk Assessment, Prentice Hall (1980), 540.
  • [4] Guo H. R., Haitao Liao, Wenbiao Zhao, Mettas A. A New Stochastic Model for Systems under General Repairs, IEEE Trans. on Reliability, 56 (2007), No 1, 40-49.
  • [5] Winfrid G. Schneeweiss. A Short Boolean Derivation of Mean Failure Frequency for Any (also Non-coherent) System, Reliability Engineering and System Safety, 94 (2009), No 8, 1363-1367.
  • [6] Burtayev Yu. F., Ostreyekovsky V. A. Statistical analysis of reliability of objects on the limited information, Energoatomisdat (1995), 240. (In Russian)
  • [7] Bevilacqua M., Braglia M., Frosolini M., Montanari R. Failure Rate Prediction with Artificial Neural Networks, Journal of Quality in Maintenance Engineering, 11 (2005), No 3, 279-294.
  • [8] Ibrahim W. R. A., Morcos M. M. An Adaptive Fuzzy Self-learning Technique for Prediction of Abnormal Operation of Electrical Systems, IEEE Trans. on Power Delivery, 21 (2006), No 4, 1770-1777.
  • [9] Guida M., Pulcini G. Bayesian Analysis of Repairable Systems Showing a Bounded Failure Intensity, Reliability Engineering and System Safety, 91 (2006), No 7, 828-838.
  • [10] Krivtsov V. Practical Extensions to NHPP Application in Repairable System Reliability Analysis, Reliability Engineering and System Safety, 92 (2007), No 5, 560-562.
  • [11] Veber B., Nagodea M., Fajdiga M. Generalized Renewal Process for Repairable Systems Based on Finite Weibull Mixture, Reliability Engineering and System Safety, 93 (2008), No 10, 1461-1472.
  • [12] Hagkwen Kim Singh. Reliability Modeling and Simulation in Power Systems with Aging Characteristics, IEEE Trans. On Power Systems, 25 (2010), No 1, 21-28.
  • [13] Volochiy B. Yu. Technology modelling algorithms behaviour of information systems, Lviv, Lviv Polytechnic National University (2004), 220 ?. (In Ukrainian)
  • [14] Richard C. M. Yam, Ming J. Zuo , Yuan Lin Zhang. A Method for Evaluation of Reliability Indices for Repairable Circular Consecutive-k-out-of-n: F systems, Reliability Engineering and System Safety, 79 (2003), No 1, 1-9.
  • [15] Lozynsky O. Yu., Shcherbovskykh S. V. Electromechanical items reliability models construction on the basis of state space extension, Visnik National Technical University „Kharkov Polytechnic Institute” (2005), No 45, 77-81. (In Ukrainian)
  • [16] Rafael Perez-Ocon, Montoro-Cazorla D. Transient Analysis of a Repairable System, Using Phase-type Distributions and Geometric Processes, IEEE Transactions on Reliability, 53 (2004), No 2, 185-192.
  • [17] Lozynsky O. Yu., Shcherbovskykh S. V. Failure Intensity Determination Using Markov Reliability Model for Renewal Non-Redundancy Systems, Przeglad Elektrotechniczny, 85 (2009), No 4, 89-91.
  • [18] Lozynsky O. Yu., Shcherbovskykh S. V. Failure intensity calculation for renewal item with taking into account repairs duration, Physical and mathematical modelling and information technology, No 9 (2009), 92-99. (In Ukrainian)
  • [19] Lozynsky O. Yu., Shcherbovskykh S. V. Determination of efficient phase-type distribution subset for mathematical reliability models synthesis of repairable items, Information extraction and processing, No 21 (2004), 17-22. (In Ukrainian).
  • [20] Hoholyuk O., Stakhiv P., Rendzinyak S. Modeling of Electric Power Systems Based on Diakoptic Approach and Parallel Algorithms in Modern Computer Tools, Przegląd Elektrotechniczny, 86 (2010), No 1, 115-117.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS1-0046-0002
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