کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1179953 962813 2010 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Support Vector Regression control charts for multivariate nonlinear autocorrelated processes
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Support Vector Regression control charts for multivariate nonlinear autocorrelated processes
چکیده انگلیسی

Statistical process control charts are one of the most widely used techniques in industry and laboratories that allow monitoring of systems against faults. To control multivariate processes, most classical charts need to model process structure and assume that variables are linearly and independently distributed. This study proposes to use a nonparametric method named Support Vector Regression to construct several control charts that allow monitoring of multivariate nonlinear autocorrelated processes. Also although most statistical quality control techniques focused on detecting mean shifts, this research investigates detection of different parameter shifts. Based on simulation results, the study shows that, with a controlled robustness, the charts are able to detect the different applied disturbances. Moreover in comparison to Artificial Neural Networks control chart, the proposed charts are especially more effective in detecting faults affecting the process variance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 103, Issue 1, 15 August 2010, Pages 76–81
نویسندگان
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