جلد 23، شماره 3 - ( 6-1391 )                   جلد 23 شماره 3 صفحات 223-230 | برگشت به فهرست نسخه ها


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Kabiri Naeini M, Owlia M S, Fallahnezhad M S. A Bayesian Approach for the Recognition of Control Chart Patterns. IJIEPR. 2012; 23 (3) :223-230
URL: http://ijiepr.iust.ac.ir/article-1-301-fa.html
A Bayesian Approach for the Recognition of Control Chart Patterns. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1391; 23 (3) :223-230

URL: http://ijiepr.iust.ac.ir/article-1-301-fa.html


چکیده:   (2797 مشاهده)
In this research, an iterative approach is employed to recognize and classify control chart patterns. To do this, by taking new observations on the quality characteristic under consideration, the Maximum Likelihood Estimator of pattern parameters is first obtained and then the probability of each pattern is determined. Then using Bayes’ rule, probabilities are updated recursively. Finally, when one of the updated derived statistics falls outside the calculated control interval a pattern recognition signal is issued. The advantage of this approach comparing with other existing CCP recognition methods is that it has no need for training. Simulation results show the effectiveness and accuracy of the new method to detect the abnormal patterns as well as satisfactory results in the estimation of pattern parameters.
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نوع مطالعه: پژوهشي | موضوع مقاله: Statistical Process Control Statistical Process Control or Quality Control
دریافت: ۱۳۹۰/۶/۱۴ | پذیرش: ۱۳۹۳/۴/۳۰ | انتشار: ۱۳۹۳/۴/۳۰

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