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车身小样本检测数据多异常值判别方法
  • ISSN号：1000-680X
  • 期刊名称：《汽车工程》
  • 时间：0
  • 分类：U472.9[机械工程—车辆工程;交通运输工程—载运工具运用工程;交通运输工程—道路与铁道工程]
  • 作者机构：[1]上海市数字化汽车车身工程重点实验室,上海200240, [2]上汽通用五菱汽车股份有限公司,柳州545007
  • 相关基金：国家自然科学基金委员会创新研究群体科学基金（51121063）和教育部高等学校学科创新引智计划（B06012）资助.
作者： 储国平, 韦春洲, 邹景明, 尹国丽
关键词： 车身检测, 小样本, 距离测度, 多异常值判别, car body measure, small sample, distance measure, multi-outliers detection
中文摘要：

针对车身检测数据样本量较小、某时域范围或某类型的测量数据呈现非正态分布的特点,提出了一种基于距离测度的车身检测数据多异常值排序检出算法,并推导了区分由生产过程突变造成的异常值和由测量粗大误差造成的异常值的判断方法.以某车型的间隙与面差检测数据为例,验证了本方法的有效性.

英文摘要：

In view of the features of vehicle body measured data,i.e.small sample and non-normal distribution in certain time or of certain type,a distance-based multi-outliers sorting/detection algorithm for vehicle body measurement is proposed,and a judgment criterion is derived for distinguishing the outliers caused by sudden changes in production process from the outliers caused by gross error of measurement.The method is validated with a real example of gap and flush measurement of a vehicle.

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期刊信息
  • 《汽车工程》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国汽车工程学会
  • 主编：孟嗣宗
  • 地址：北京西城区莲花池东路102号天莲大厦1003室
  • 邮编：100055
  • 邮箱：sae860@sae-china.org
  • 电话：010-50950106 50950000
  • 国际标准刊号：ISSN：1000-680X
  • 国内统一刊号：ISSN：11-2221/U
  • 邮发代号:2-341
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:17735