دانلود مقاله ISI انگلیسی شماره 52597
ترجمه فارسی عنوان مقاله

یک سیستم خبره فازی برای افزایش دقت و صحت در تجزیه و تحلیل سیستم اندازه گیری

عنوان انگلیسی
A fuzzy expert system to increase accuracy and precision in measurement system analysis
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
52597 2013 11 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Measurement, Volume 46, Issue 8, October 2013, Pages 2770–2780

ترجمه کلمات کلیدی
تجزیه و تحلیل سیستم اندازه گیری فازی - تکرار سنج و تکرارپذیری - سیستم های کیفیت - سیستم خبره فازی
کلمات کلیدی انگلیسی
Fuzzy measurement system analysis (FMSA); Gauge repeatability and reproducibility (GR&R); Quality systems; Fuzzy expert system
پیش نمایش مقاله
پیش نمایش مقاله  یک سیستم خبره فازی برای افزایش دقت و صحت در تجزیه و تحلیل سیستم اندازه گیری

چکیده انگلیسی

In this paper, we have presented the first proposal to apply measurement system analysis (MSA) in fuzzy environment. Nowadays, because the quality control techniques are applied a lot in manufacturing, research and development environments, many decisions are made in processes and equipment evaluation, control, and improvement. Besides, the philosophy of measurement system analysis (MSA) depends on measurement error which hides true process capability; therefore, it must be implemented prior to any process improvement activities to minimize the measurement errors. Since the capability of each quality system is related to the accuracy of its measurement system, this research develops a novel methodology to increase precision and accuracy of MSA. To do so analyzing measurement systems under fuzziness of indices are investigated to make the environment more realistic. In this article, not only fuzzy measurement system analysis with gauge repeatability and reproducibility (GR&R) index as a triangular fuzzy number is proposed, but a fuzzy measurement system analysis a fuzzy expert system is presented to make more reliable and appropriate decisions. At the end, the applicability of the proposed methodology has been demonstrated within a case study in automotive parts industry to show impact of uncertainty in the reality.