Training based, moving digital filter method for real time heat flux function estimation

Farshad Kowsary*, Morteza Mohammadzaheri, Saeed Irano

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

25 اقتباسات (Scopus)

ملخص

In this paper the neural networks is utilized to estimate the "filter coefficients" needed to estimate heat flux in a particular system. In developing the training phase of the network inspiration is drawn from the Burgraff's exact solution of the IHCP as well as the filter method. Thus, the estimation phase neither requires any temperature field nor the sensitivity coefficients calculations. The neural network used in this work is a 2-layer perceptron. It is shown via classical triangular heat flux test cases that the method can yield very accurate, very efficient as well as stable estimations.

اللغة الأصليةEnglish
الصفحات (من إلى)1291-1298
عدد الصفحات8
دوريةInternational Communications in Heat and Mass Transfer
مستوى الصوت33
رقم الإصدار10
المعرِّفات الرقمية للأشياء
حالة النشرPublished - ديسمبر 2006
منشور خارجيًانعم

ASJC Scopus subject areas

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