کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
699896 | 890809 | 2010 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evaluation using online support-vector-machines and fuzzy reasoning. Application to condition monitoring of speeds rolling process
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی هوافضا
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Evaluation using online support-vector-machines and fuzzy reasoning. Application to condition monitoring of speeds rolling process Evaluation using online support-vector-machines and fuzzy reasoning. Application to condition monitoring of speeds rolling process](/preview/png/699896.png)
چکیده انگلیسی
A method for process condition monitoring and evaluation, which combines the online support vector machine (SVM) regression and the fuzzy sets methods, is proposed. To account for the time dependence, the proposed approach is based on moving windows in order to take into account the past and new data for the model’s adaptation. The fuzzy analysis is then applied to the generated residual data to give an evaluation of the condition monitoring. The proposed approach is applied to hot rolling for constructing a complementary condition monitoring system, which permits an online quality evaluation in the rolling process. Simulation results based on residual data show that the new approach is easily implementable.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Control Engineering Practice - Volume 18, Issue 9, September 2010, Pages 1060–1068
Journal: Control Engineering Practice - Volume 18, Issue 9, September 2010, Pages 1060–1068
نویسندگان
Salah Bouhouche, Laib Laksir Yazid, Sissaoui Hocine, Jürgen Bast,