期刊文献+

考虑失效相关的系统动态可靠性模型 被引量:11

Dynamic Reliability Model of the System with Dependent Failure
在线阅读 下载PDF
导出
摘要 考虑共因失效这种重要的失效相关形式对系统可靠性的影响,运用载荷—强度干涉模型、顺序统计量理论以及随机过程建立了系统动态可靠性模型。在系统层运用载荷—强度干涉模型建立了失效相关系统可靠性模型。分析了随机载荷多次作用时系统的失效过程,根据随机载荷作用的统计学意义,运用顺序统计量理论建立了载荷多次作用下的系统可靠性模型。在此基础上,运用泊松随机过程描述载荷的作用过程,建立了失效相关串联系统、并联系统以及k/n系统动态可靠性模型,并研究了系统可靠度随时间的变化规律。最后,运用Monte Carlo方法对所建立的可靠性模型进行了仿真分析,验证了本文模型的正确性。 In consideration of the effect of common cause failure as an important mode of dependent failure on the reliability of the system, the dynamic reliability models of systems were developed by taking advantage of the load-strength interference model, the order statistic theory and the stochastic process. The reliability models of the systems with dependent failure were built using the load-strength interference model in system-level directly. The failure mechanism of the systems was analyzed for the multiple action of random load, and from the statistic meaning of random load action, the reliability models of the systems under random repeated load were derived using the order statistic theory. Further, the loading process was described with the Poisson stochastic process, the dynamic reliability models of series, parallel and k-out-of-n systems were established, and the relationship between the reliability of the systems and time was studied. Finally; the simulation analysis was carried out to verify the reliability models proposed with Monte Carlo method, and the result shows that the proposed reliability model is right.
出处 《兵工学报》 EI CAS CSCD 北大核心 2008年第8期985-989,共5页 Acta Armamentarii
基金 国家高技术研究发展计划项目(2006AA04Z408)
关键词 系统评估与可行性分析 系统可靠性 动态可靠度 失效相关 共因失效 载荷--强度干涉 MONTE Carlo仿真 systematic elevation and feasibility analysis system reliability dynamic reliability failure dependence common cause failure load-strength interference Monte Carlo simulation
  • 相关文献

参考文献15

  • 1XIE Li-yang, ZHOU Jin-yu, HAO Chang-zhong. System-level load strength interference based reliability modeling of k-out-of-n system[J]. Reliability Engineering and System Safety, 2004, 84:311 -317.
  • 2Levitin G. Incorporating common-cause failures into no repairable multi-state series-parallel system analysis[J]. IEEE Transactions on Reliability, 2001, 50(4):380-388.
  • 3谢里阳,林文强.共因失效概率预测的离散化模型[J].核科学与工程,2002,22(2):186-192. 被引量:25
  • 4谢里阳,周金宇,李翠玲,王学敏.系统共因失效分析及其概率预测的离散化建模方法[J].机械工程学报,2006,42(1):62-68. 被引量:23
  • 5Dorre P. Basic aspects of stochastic reliability analysis for redundancy systems [ J ]. Reliability Engineering and System Safety, 1989, 24(3): 351- 375.
  • 6Dorre P. An event-based multiple malfunction model[J]. Reliability Engineering, 1987, 17(1 ) : 73 - 80.
  • 7Pan Z, Nonaka Y. A new approach for reliability estimation of system with complex common cause failures [J ]. International Journal of Reliability: Quality and Safety Engineering, 1994, 1 (2) :291 - 298.
  • 8Lewis E E. A load-capacity interference model for common-mode failures in 1-out-of-2; G systems [ J ]. IEEE Transaction on Reliability, 2001, 50(1) :47- 51.
  • 9Place C S, Strutt J E, Allsopp K, et al. Reliability prediction of helicopter transmission systems using stress-strength interference with underlying damage accumulation [J]. Quality and Reliability Engineering International, 1999, 15 : 69 - 78.
  • 10Knut O Ronold, Gunner C Larsen. Reliability-based design of wind-turbine rotor blades against failure in ultimate loading [J]. Engineering Structures, 2000, 22: 565-574.

二级参考文献45

  • 1张钰.机械传动系统可靠性、零件概率有限元法及软件集成的研究[D].沈阳:东北大学,2001..
  • 2[1]Collas G. Reliability engineering for the future., In: New trends in system reliability evaluation, K. B. Misra( ed. ), Elsevier, 1993,. 325~328
  • 3[2]Vaurio J K. Common cause failure models, data, quantification,IEEE Trans. Reliability, 1999, 48:213~214
  • 4[3]Hauptmanns U. The multi-class binominal failure rate model,Reliability Eng. and System Safety, 1996, 53:85~96
  • 5[4]NEA/CSNI/R(92)18, STATE OF THE ART OF LEVEL-1 PSA METHODOLOGY, 1993
  • 6[5]Hughes R P. A New approach to Common Cause Failure. Reliability Eng., 1987, 17:211~236
  • 7[6]Dore P. Basic Aspects of Stochastic Reliability Analysis for Redundancy Systems, Reliability Eng. and System Safety,1989, 24: 351~375
  • 8[7]Mankamo T, Kosonen M. Dependent failure modeling in highly redundant structure-application to BWR safety valves. Reliability Eng. and System Safety 1992, 35: 235~244
  • 9[8]Xie L Y. Pipe Segment Failure Dependency Analysis and System Failure Probability Estimation, Int. J. Pressure Vessels and Piping, 1998.75(6) ..483~488
  • 10[9]Kaplan S. On the method of discrete probability distributions in risk and reliability calculations-application to seismic risk assessment. Risk Analysis, 1981, 1:189~196

共引文献55

同被引文献78

引证文献11

二级引证文献50

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部