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基于Kriging模型的小子样失效数据可靠性分析
  • ISSN号：1003-8728
  • 期刊名称：《机械科学与技术》
  • 时间：0
  • 分类：TB114.3[理学—概率论与数理统计;理学—数学;理学—应用数学]
  • 作者机构：西北工业大学航空学院, 总参陆航部西安地区军事代表室, 空军93176部队
  • 相关基金：国家自然科学基金项目(51175425);航空基金项目(2011ZA53015)资助
作者： 任博, 吕震宙, 刘超, 段飞蛟
关键词： 克里金, 可靠性, 可靠性数据分析, 逆变换抽样
中文摘要：

针对高可靠性航空柱塞泵现场故障数据稀少,难以准确确定数据分布类型的问题,提出采用Kriging方法建立部件故障不确定性的精确描述模型,挖掘部件可靠性信息,并基于不确定性描述的隐式Kriging模型进行蒙特卡洛抽样,产生与原始数据统计规律一致的大容量样本,为基于蒙特卡洛方法的结构系统可靠性分析奠定基础。此外,为衡量所提模型与原始数据统计分布特性的差异,提出基于累积分布函数的单位面积期望误差测度。测度分析结果表明,Kriging方法所建的部件故障不确定性模型比传统方法更准确。以航空柱塞泵为例,进行可靠性数据分析,验证所提方法的正确与高效。

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期刊信息
  • 《机械科学与技术》
  • 中国科技核心期刊
  • 主管单位:
  • 主办单位:西北工业大学
  • 主编：姜澄宇
  • 地址：陕西西安友谊西路127号
  • 邮编：710072
  • 邮箱：mst@Nwpu.edu.cn
  • 电话：029-88493054 88460226
  • 国际标准刊号：ISSN：1003-8728
  • 国内统一刊号：ISSN：61-1114/TH
  • 邮发代号:52-193
  • 获奖情况:
  • 国内外数据库收录:
  • 荷兰文摘与引文数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:21878