Reliability Evaluation of Radar Power Amplifier System in Case of Related Competing Failures
PAN Gang, SHANG Chao-xuan, LIANG Yu-ying, CAI Jin-yan, MENG Ya-feng
1. Department of Electronic and Optic Engineering, Ordnance Engineering College, Shijiazhuang, Hebei 050003, China;
2. Luoyang Electronics Equipment Test Center, Luoyang, Henan 471000, China
Since it is difficult to obtain adequate performance distribution information of highly reliable components in case of related competing failures and system reliability problems cannot be accurately estimated,the multi-state system reliability evaluation method in consideration of epistemic uncertainty was proposed in case of related competing failures.Firstly,the components' sudden failure thresholds were assumed as a decreasing random process to represent the correlation between accumulative degradation and sudden failure.Secondly,in order to reduce the impact on the epistemic uncertainty of components,the components' performance distribution model based on interval variables was built on the assumption that the components' performance damage distribution parameter and sudden failure parameter caused by random shocks are interval variables.Thirdly,the traditional general generating function method was improved and the definition of general generating function and its algorithm were proposed.Finally,the reliability of the power amplifier of a radar system was analyzed.With simple and clear procedures,this method not only avoids the components' complex failure mode and less status information,but also features great universality and high engineering application value.
潘刚, 尚朝轩, 梁玉英, 蔡金燕, 孟亚峰. 相关竞争失效场合雷达功率放大系统可靠性评估[J]. 电子学报, 2017, 45(4): 805-812.
PAN Gang, SHANG Chao-xuan, LIANG Yu-ying, CAI Jin-yan, MENG Ya-feng. Reliability Evaluation of Radar Power Amplifier System in Case of Related Competing Failures. Acta Electronica Sinica, 2017, 45(4): 805-812.
[1] 李春洋.基于多态系统理论的可靠性分析与优化设计方法研究[D].长沙:国防科学技术大学,2010. Li Chun-yang.Research on reliability analysis and optimization based on the multi-state system theory[D].Changsha:National University of Defense Technology,2010.(in Chinese)
[2] 曹晋华,程侃.可靠性数学引论[M].北京:高等教育出版社,2006. Cao Jin-hua,Cheng Kan.Introduction to the Reliability Mathematics[M].Beijing:Higher Education Press,2006.(in Chinese)
[3] WANG Y P.Multi-objective impact for dependent competing system with multiple degradation progress and random shock[D].New Jersey:the State University of New Jersey,2012.
[4] Jiang L,Feng Q M,Coit D W.Reliability and maintenance modeling for dependent competing failure processes with shifting failure thresholds[J].IEEE Transactions on Reliability,2012,61(4):932-948.
[5] Song S L,Coit D W,Feng Q M,et al.Reliability analysis for multi-component systems subject to multiple dependent competing failure processes[J].IEEE Transactions on Reliability,2014,63(1):331-345.
[6] Lisnianski A L G.Multi-State System Reliability:Assessment,Optimization and Applications[M].Singapore:World Scientific,2003.
[7] Barton R E W A S.Coherent systems with multi-state components[J].Mathematica of Operations Research,1978(3):275-281.
[8] Lisnianski A,Frenkel I,Ding Y.Multi-State System Reliability Analysis and Optimization for Engineers and Industrial Managers[M].London:Springer,2010.
[9] 于敏,何正友,钱清泉.基于Markov过程的硬/软件综合系统可靠性分析[J].电子学报,2010,38(2):473-479. Yu Min,He Zheng-you,Qian qing-quan.Reliability analysis of combined hardware/software system based on Markov process[J].Acta Electronica Sinica,2010,38(2):473-479.(in Chinese)
[10] 史新红,齐先军,王治国.基于UGF的发电系统区间可靠性评估及其仿射算法改进[J].合肥工业大学学报(自然科学版),2014,37(3):286-291. Shi Xin-hong,Qi Xian-jun,Wang Zhi-Guo.Interval reliability estimation of power generating system based on UGF method and its modification by using affine arithmetic[J].Journal of Hefei University of Technology(Natural Science),2014,37(3):286-291.(in Chinese)
[11] Taboada H,Espiritu J,Coit D W.Design allocation of multi-state series-parallel systems for power systems planning:a multiple objective evolutionary approach[J].Journal of Risk and Reliability,2008(222):381-389.
[12] 尚彦龙,蔡琦,赵新文,等.基于UGF和Semi-Markov方法的反应堆泵机组多状态可靠性分析[J].核动力工程,2012,33(01):117-123. Shang Yang Long,Cai Qi,Zhao Xin Wen,et al.Multi-state reliability for pump group in nuclear power system based on UGF and semi-Markov process[J].Nuclear Power Engineering,2012,33(01):117-123.(in Chinese)
[13] 刘宇.多状态复杂系统可靠性建模及维修决策[D].成都:电子科技大学,2011. Liu Yu.Multi-state complex system reliability modeling and maintenance decision[D].Chengdu:University of Electronic Science and Technology of China,2011.(in Chinese)
[14] Li W J,Pham H.Reliability modeling of multi-state degraded systems with multi-competing failures and random shocks[J].IEEE Transactions on Reliability,2005,54(2):297-303.
[15] Wang Z L,Du L,Huang H Z.Reliability modeling for dependent competitive failure processes[A].Proceedings of Annual Reliability and Maintainability Symposium (RAMS)[C].Las Vegas,Nevada:IEEE,2008.278-282.
[16] Xing L D,Levitin G.Reliability of multi-state systems subject to competing failures[A].Proceedings of Annual Reliability and Maintainability Symposium (RAMS)[C].Lake Buena Vista,Florida:IEEE,2011.1-7.
[17] Wang C,Xing L,Levitin G.Reliability of phased-mission systems subject to competing failures[A].Proceedings of Annual Reliability and Maintainability Symposium (RAMS)[C].Orlando,Florida:IEEE,2013.1-6.
[18] 潘刚,尚朝轩,梁玉英,等.考虑认知不确定的雷达功率放大系统可靠性评估[J].北京航空航天大学学报,http://www.cnki.net/kcms/detail/11.2625.V.20151019.1520.003.html. Pan Gang,Shang Chaoxuan,Liang Yuying.Reliability evaluation of radar power amplification system considering epistemic uncertainty[J].Journal of Beijing University of Aeronautics and Astronautics,http://www.cnki.net/kcms/detail/11.2625.V.20151019.1520.003.html.(in Chinese)
[19] 邱志平.非概率集合理论凸方法及其应用[M].北京:国防工业出版社,2005. Qiu Zhi-ping.Convex Method of Non-Probabilistic Set-Theory and Its Application[M].Beijing:National Defense Industry Press,2005.(in Chinese)
[20] 高峰记.可能度及区间数综合排序[J].系统工程理论与实践,2013,33(8):2033-2040. Gao Feng-ji.Possibility degree and comprehensive priority of interval numbers[J].Systems Engineering-Theory and Practice,2013,33(8):2033-2040.(in Chinese)
2017, Vol. 45 
