• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of statistical computation and simulation >Evaluating the precision of bivariate attribute measurements
【24h】

Evaluating the precision of bivariate attribute measurements

机译：评估双变量属性测量的精度

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

Many quality improvement programs employ measurement system analysis (MSA) to ensure the reliability of measurement results, which are the basis for conclusions regarding the behaviour of critical quality characteristics. Gauge repeatability and reproducibility (R&R) study is an important approach for evaluating the precision of MSA. Although many gauge capability studies exist and are common in industry, few have discussed cases with attribute data. Modern manufacturing processes must monitor two or more related quality characteristics simultaneously to enhance the quality management effectiveness. This study presents a novel model for evaluating gauge R&R for bivariate attribute data. An alloy manufacturing case is utilized to illustrate the process and potential of the proposed model. Findings are employed to assess and improve measurement systems with bivariate attribute data.
机译：许多质量改进程序都采用测量系统分析（MSA）来确保测量结果的可靠性，这是得出有关关键质量特征行为的结论的基础。量规的可重复性和可重复性（R＆R）研究是评估MSA精度的重要方法。尽管存在许多规范能力研究，并且在行业中很普遍，但是很少有人讨论带有属性数据的案例。现代制造过程必须同时监视两个或多个相关的质量特征，以提高质量管理的有效性。这项研究提出了一种用于评估量表R＆R的双变量属性数据的新颖模型。利用合金制造案例来说明所提出模型的过程和潜力。研究结果用于评估和改进具有双变量属性数据的测量系统。

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