期刊文献+

多元系统马氏田口方法的诊断与分析研究 被引量:8

A Study on the Multivariate System Diagnosis and Analysis Using Mahalanobis-Taghchi System
下载PDF
导出
摘要 马氏田口方法是研究多元系统的一种新方法,主要用于建立和优化多元系统的测量表,以便采用优化后的测量表进行诊断/预测。本文基于马氏田口方法四大基本步骤和MYT正交分解对马氏田口方法进行了拓展研究。首先,介绍了马氏田口方法的四大基本步骤;接着介绍了MYT正交分解法,并将MYT正交分解法应用于多元系统的马氏田口方法异常值潜在原因分析;最后,利用拓展后的马氏田口方法对某医院血粘度诊断系统进行了优化,同时对利用优化后的测量表进行诊断时发现的异常值进行了潜在原因分析,取得了良好的效果。 Mahalanobis -Taguchi System (MYS) is a new method for studying multidimensional systems. A multidi- mensional measurement scale is constructed and optimized, and it can be used to diagnose or forecast multidimensional systems. MTS is studied in deeper level based on four basic steps of MTS and MYT orthogonal decomposition. Firstly, the four basic steps of MTS are introduced. Secondly, MYT orthogonal decomposition is presented and applied to potential causes analysis of abnormal observations of MTS. Finally, a hospital viscosity of plasma diagnostic system is optimized by MTS and potential causes of one abnormal observation are analyzed, and a good result is obtained.
作者 何桢 韩亚娟
出处 《数理统计与管理》 CSSCI 北大核心 2007年第5期830-839,共10页 Journal of Applied Statistics and Management
基金 国家自然科学基金项目(70372062)
关键词 马氏田口方法 MYT正交分解法 异常值潜在原因分析 Mahalanobis- Taguchi System MYT Orthogonal Decomposition Potential causes analysis of abnormal observations
  • 相关文献

参考文献18

  • 1Taguchi, G. , and Jugulum, R. The Mahalanobis -Taguchi Strategy: A Pattern Technology System [ M ]. New York: John Wiley & Sons, 2002.
  • 2Nakatsugawa, M. , and Ohuchi, A. A Study on Selection of the Terms in MTS Algorithm [ J]. Transactions of the Institute of Electronics, Information and Communication Engineers A, 2002, J85 -A (4) : 434- 441.
  • 3Nakatsugawa, M. , and Ohuchi, A. A Study on Determination of the Threshold in MTS Algorithm [ J]. Transactions of the Institute of Electronics, Information and Communication Engineers A, 2001, J84 -A (4) : 519 - 527.
  • 4Woodall, W. H. , and Koudelik, R. , and Kwok - Leung Tsui, and Seoung Bum Kim. A Review and Analysis of the Mahalanobis - Taguchi System [ J]. Technometrics, 2003, 45 ( 1 ) : 1 - 15.
  • 5Taguchi, G., and Chowdhury, S., and Wu. Y. The Mahalanobis- Taguchi System [ M ]. New York: McGraw - Hill, 2001.
  • 6Nagao, M. , and Yamamoto, M. , and Suzuki, K. , and Ohuchi, A. A Face Identification System Based on the Mahalanobis- Taguchi system. International [J] Transactions in Operational Research, 2001, 8 (1) : 31 -45.
  • 7Hacker, J. , and Engelhardt, F. , and Frey, D.D. Robust Manufacturing Inspection and Classification with Machine Vision [ J]. International Journal of Production Research, 2002, 40 (6) : 1319 - 1334.
  • 8Doganaksoy, N. , Fahin, F. W. , and Tucker, W. T Identification of Out - of - Control Quality Characteristics in a Multivariate Manufacturing Environment [A]. Comm. Statist. Theory Methods[ C] , 1991, 20:2775 - 2790.
  • 9Hawkins, D.M. Multivariate Quality Control Based on Regression - Adjusted Variables [ J ]. Technometrics, 1991, 33 : 61 - 75.
  • 10Hawkins, D.M. Regression Adjustment for Variables in Multivariate Quality Control [J]. Quality Technology, 1993, 25: 170-182.

同被引文献64

引证文献8

二级引证文献35

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