• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>A critical link: Diagnosis to prognosis >Analysis of electromechanical systems reliability using markov models
【24h】

Analysis of electromechanical systems reliability using markov models

机译：使用Markov模型分析机电系统的可靠性

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A computational algorithm is presented to estimate the reliability of an engineering system consisting of both electrical and mechanical components. The mechanical component is modeled with a strain-based fatigue reliability model that allows the hazard rate functions of the cycles to failure distribution to be predicted. Any electrical component is assumed to exhibit a constant hazard rate function. Markov state transition probabilities are derived in roder to include time varying hazard rate functions in the analysis. The time-dependent reliability of the system is computed using a Markov chain analysis under the assumption that the fatigue-based hazard rate function of the mechanical elements are piecewise constant. An example is given that demonstrates the piecewise constant hazard rate function method applied to an engineering system.
机译：提出了一种计算算法来估计由电气和机械组件组成的工程系统的可靠性。机械零件采用基于应变的疲劳可靠性模型建模，该模型允许预测故障分布周期的危险率函数。假定任何电气组件都具有恒定的危险率函数。推导器中得出了马尔可夫状态转移概率，以在分析中包括时变危险率函数。在假定机械元件的基于疲劳的危险率函数为分段常数的假设下，使用马尔可夫链分析计算了系统的时间依赖性可靠性。给出了一个示例，演示了应用于工程系统的分段恒定危害率函数方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号