乗法型計測システムにおけるパラメータ設計:- 応答関数モデリングとパフォーマンス測度モデリングによる最適化-  [in Japanese] Robust Parameter Design with Multiplicative Models in Measurement Systems:-Optimization Based on Response Function Modeling and Performance Measure Modeling -  [in Japanese]

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Abstract

論文では,計測システムにおけるばらつきを低減化させるための統計的方法を提案する.計測特性は原点をもつ比尺度データである場合を想定し,その入出力が正値かつその関係が線形の場合を考察する.ここで,誤差変動を誤差因子,残存誤差因子および偶然誤差に分類し,これらに乗法モデルを対応させた計測の一般化SN比を導出する.さらに,入出力関係における制御因子と誤差因子との有効な交互作用を定量的に探索するために,応答関数モデリングおよびパフォーマンス測度モデリングを提案し,数値実験によりその有効性を検証する.

In this article, we propose a statistical method which reduces the variation in measurement systems. We consider systems with positive-valued linear (multiplicative models) signal-response relationship passing through the origin. The unobservable noise variables are classified into three categories : noise factors, remained noise factors, and random errors. Then we propose a generalized signal-to-noise (SN) ratio in measurement systems with respect to the classification. Furthermore, we discuss the two different data analysis methods -response function modeling and performance measure modeling- for modeling and optimization. The effectiveness of two methods is investigated by a Monte Carlo simulation study.

Journal

  • Journal of The Japanese Society for Quality Control

    Journal of The Japanese Society for Quality Control 42(2), 241-247, 2012

    The Japanese Society for Quality Control

References:  7

Codes

  • NII Article ID (NAID)
    110009437383
  • NII NACSIS-CAT ID (NCID)
    AN00354769
  • Text Lang
    JPN
  • Article Type
    ART
  • ISSN
    0386-8230
  • NDL Article ID
    023741243
  • NDL Call No.
    Z4-463
  • Data Source
    CJP  NDL  NII-ELS  J-STAGE 
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