کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5003122 | 1368467 | 2006 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analysis of Industrial Grinding Circuits Using PCA, PLS and Neural Networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Analysis of Industrial Grinding Circuits Using PCA, PLS and Neural Networks Analysis of Industrial Grinding Circuits Using PCA, PLS and Neural Networks](/preview/png/5003122.png)
چکیده انگلیسی
The use of variable rotation speed control in mineral grinding circuits is continuously increasing. High precision on-line particle size distribution measurement of the grinding product has also recently become available. These tools have increased the potential for the development of monitoring and optimization methods for grinding circuits. This paper presents some experiments to evaluate the effect of mill operating variables on the particle size distribution of the circuit product. In the evaluation the PCA, PLS and neural networks methods were used for analyzing industrial experiment data. The experiments have been carried out at the Kemi chromite concentrator plant of Outokumpu Chrome in northern Finland.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC Proceedings Volumes - Volume 39, Issue 22, September 2006, Pages 109-114
Journal: IFAC Proceedings Volumes - Volume 39, Issue 22, September 2006, Pages 109-114
نویسندگان
A. Remes, N. Vaara, S-L. Jämsä-Jounela,