شما هنوز به سایت وارد نشده اید.
جمعه 10 فروردین 1403
ورود به سایت
آمار سایت
بازدید امروز: 11,706
بازدید دیروز: 33,526
بازدید کل: 151,147,914
کاربران عضو: 0
کاربران مهمان: 53
کاربران حاضر: 53
Exceedance probability estimation for a quality test consisting of multiple measurements
Abstract:

The purpose of this study was to develop methods for exceedance probability estimation in the case of highly scattered measurement sets. The situation may occur when product quality is verified with several test samples, and thus, traditional point prediction based modelling methods are not sufficient. Density forecasting methods are needed when not only the mean but also the deviance and the distribution shape of the response depend on the explanatory variables. Furthermore, with probability predictors, the ranking methods for the model selectio should be chosen carefully, when models trained with different methods are compared. In this article, the impact toughness of the steel products was modelled. The rejection probability in Charpy-V quality test was predicted with mean and deviation models, distribution shape model and quantile regression model. The proposed methods were employed in two steel manufacturing applications with different distributional properties

Keywords: Quality improvement Product design Charpy-V test GAM GAMLSS Quantile regression
Author(s): .
Source: Expert Systems with Applications 40 (2013) 4577–4584
Subject: مدیریت کیفیت و بهره وری
Category: مقاله مجله
Release Date: 2013
No of Pages: 8
Price(Tomans): 0
بر اساس شرایط و ضوابط ارسال مقاله در سایت مدیر، این مطلب توسط یکی از نویسندگان ارسال گردیده است. در صورت مشاهده هرگونه تخلف، با تکمیل فرم گزارش تخلف حقوق مؤلفین مراتب را جهت پیگیری اطلاع دهید.