کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
645504 | 1457143 | 2015 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Outliers detection method of multiple measuring points of parameters in power plant units
ترجمه فارسی عنوان
روش تشخیص ضایعات از چندین نقطه اندازه گیری پارامترها در واحد نیروگاه
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
جریان سیال و فرایندهای انتقال
چکیده انگلیسی
A novel outlier detection method known as modified Grubbs method, which is based on median and median absolute deviation, is proposed to solve outlier detection in multiple measuring points' parameters. Weights are introduced to modify median absolute deviation and the test criterion. In the paper, a comparative study of the proposed method and the original Grubbs method in outlier detection on simulated data is presented. Due to the shortcomings of the original Grubbs method, the modified Grubbs method is a more robust alternative. The performances of the proposed method are illustrated by main steam temperature data set with and without outliers. The obtained results demonstrate that the proposed method can be used in outlier detection in thermal power plants and it is highly efficient and robust.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Thermal Engineering - Volume 85, 25 June 2015, Pages 297-303
Journal: Applied Thermal Engineering - Volume 85, 25 June 2015, Pages 297-303
نویسندگان
Minfang Qi, Zhongguang Fu, Fei Chen,