期刊文献+

基于性能退化和通用发生函数的在轨空间机构系统多状态可靠性分析 被引量:12

Multi-state System Reliability Analysis of Space Mechanism in Orbit Based on Performance Degradation and Universal Generating Function
下载PDF
导出
摘要 在轨空间机构在服役期间,其性能参数往往会因为耗损性机理(如磨损)发生退化,是具有多性能参数输出的多状态系统。因此,基于"两态性"假设的传统可靠性分析方法并不能准确的分析在轨空间机构的多状态可靠性。针对此问题,提出了性能退化和通用生成函数(Universal generating function,UGF)相结合的系统多状态可靠性分析方法。建立了性能参数分布矢量模型,在此基础上利用UGF建立了多性能参数退化下的在轨空间机构系统多状态可靠性模型。分别给出了已知退化机理模型和未知退化机理模型两种情况下的状态概率计算方法,并提出了多性能参数退化下的系统可靠度分析方法。结合双轴驱动机构系统的实例分析,验证了所提方法的有效性,具有工程应用的指导意义。 Space mechanism in orbit is a system with the output of multiple performance parameters which tend to degrade because of degradation mechanism. So space mechanism in orbit is a multi-state system with multiple rates of performance. Traditional reliability analysis methods based on the binary state assumption cannot accurately analyse the reliability of space mechanism in orbit. For the purpose of accurate analysis of system reliability, a multi-state reliability analysis method based on the performance degradation and universal generating function (UGF) is proposed. The performance distribution model was built and the arithmetic model is embedded into the structure/property function and performance rates combination model by UGF. On this basis, a multi-state reliability model of the system is established. The state probability analysis method of the known degradation mechanism model and the unknown degradation mechanism model is given respectively, and the multi-state system reliability analysis method under multi-performance parameter degradation is proposed. This method is effective and feasible validated by conducting an example on a two-axes-position mechanism of a satellite antenna.
出处 《机械工程学报》 EI CAS CSCD 北大核心 2017年第11期20-28,共9页 Journal of Mechanical Engineering
基金 国家重点基础研究发展计划资助项目(973计划 2013CB733000)
关键词 在轨空间机构 多状态系统 性能退化 可靠性分析 通用生成函数 随机过程 space mechanism in orbit multi-state system performance degradation reliability analysis, universal generating function stochastic process
  • 相关文献

参考文献3

二级参考文献35

  • 1周汝胜,焦宗夏,王少萍.液压系统故障诊断技术的研究现状与发展趋势[J].机械工程学报,2006,42(9):6-14. 被引量:148
  • 2董豆豆,冯静,孙权,周经伦.模糊情形下基于贝叶斯网络的可靠性分析方法[J].系统工程学报,2006,21(6):668-672. 被引量:16
  • 3LI Chunyang, CHEN Xun, YI Xiaoshan, et al. Heterogeneous redundancy optimization for multi-state series-parallel systems subject to common cause failures[J]. Reliability Engineering and System Safety, 2010, 95(3): 202-207.
  • 4AN Zongwen, HUANG Hongzhong, LIU Yu. A discrete stress-strength interference model based on universal generating function[J]. Reliability Engineering and System Safety, 2008, 93(10): 1 485-1 490.
  • 5LU J C, MEEKER W Q. Using degradation measures to estimate a time-to-failure distribution[J]. Technometrics, 1993, 35(2): 161- 174.
  • 6MEEKER W Q, ESCOBAR L A, LU C J. Accelerated degradation tests: modeling and analysis[J]. Technometrics, 1998, 40(2): 89-99.
  • 7CHIAO C H, HAMADA M. Using degradation data from an experiment to achieve robust reliability for light emitting diodes[J]. Quality and Reliability Engineering International, 1996, 12(2): 89-94.
  • 8CRK V. Reliability assessment from degradation data[C]// Proceedings Annual Reliability and Maintainability Symposium, Los Angeles, CA, USA, January 24-27, 2000: 155-161.
  • 9COlT D W, EVANS J L, VOGT N T, et al. A method for correlating field life degradation with reliability prediction for electronic modules[J]. Quality and Reliability Engineering International, 2005, 21(7): 715-726.
  • 10JAYARAM J S R, GIRISH T. Reliability prediction through degradation data modeling using a quasi-likelihood approach[C]// Proceedings Annual Reliability and Maintainability Symposium, Alexandria, VA, USA, January 24-27, 2005: 193-199.

共引文献68

同被引文献70

引证文献12

二级引证文献23

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