کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1282805 | 1497607 | 2010 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analysis of PEM fuel cell experimental data using principal component analysis and multi linear regression
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
الکتروشیمی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Analysis of PEM fuel cell experimental data using principal component analysis and multi linear regression Analysis of PEM fuel cell experimental data using principal component analysis and multi linear regression](/preview/png/1282805.png)
چکیده انگلیسی
Polarisation curves performed at the Fuel Cell System Laboratory (FC LAB) at Belfort on a PEM fuel cell stack using a homemade fully instrumented test bench led to more than 100 variables depending on time. Visualising and analysing all the different test variables are complex. In this work, we show how the Principal Component Analysis (PCA) method helps to explore correlations between variables and similarities between measurements at a specific sampling time (individuals). To complete this method, an empirical model of the PEM fuel cell is proposed by linking the different input parameters to the cell voltage using Multiple Linear Regression.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Hydrogen Energy - Volume 35, Issue 10, May 2010, Pages 4582–4591
Journal: International Journal of Hydrogen Energy - Volume 35, Issue 10, May 2010, Pages 4582–4591
نویسندگان
Latevi Placca, Raed Kouta, Denis Candusso, Jean-François Blachot, Willy Charon,