کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
442835 692401 2016 11 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
E-quality control: A support vector machines approach
ترجمه فارسی عنوان
کنترل کیفیت الکترونیکی: یک رویکرد ماشین بردار پشتیبان
کلمات کلیدی
ماشین بردار پشتیبانی؛ طبقه بندی قطعه. بازرسی از راه دور؛ ایستگاه رباتیک شبکه؛ کیفیت الکترونیکی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
چکیده انگلیسی


• This work uses innovative methods in e-quality with the application of SVM.
• Many potential benefits of e-quality control have been presented and instantiated.
• The classifier equations are built on the data obtained from the experiments.
• A detailed analysis is presented for six different case studies.
• The results indicate the robustness of proposed SVM classification.

The automated part quality inspection poses many challenges to the engineers, especially when the part features to be inspected become complicated. A large quantity of part inspection at a faster rate should be relied upon computerized, automated inspection methods, which requires advanced quality control approaches. In this context, this work uses innovative methods in remote part tracking and quality control with the aid of the modern equipment and application of support vector machine (SVM) learning approach to predict the outcome of the quality control process. The classifier equations are built on the data obtained from the experiments and analyzed with different kernel functions. From the analysis, detailed outcome is presented for six different cases. The results indicate the robustness of support vector classification for the experimental data with two output classes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Design and Engineering - Volume 3, Issue 2, April 2016, Pages 91–101
نویسندگان
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