IP7 - Application of Adaptive Neurofuzzy Inference System for calculation of heat power consumption using infrared thermography
- Event
- SENSOR+TEST Conferences 2009
2009-05-26 - 2009-05-28
Congress Center Nürnberg - Band
- Proceedings OPTO 2009 & IRS² 2009
- Chapter
- IRS² Poster Session
- Author(s)
- S. Dudzik, W. Minkina - Częstochowa University of Technology, Częstochowa, Poland
- Pages
- 307 - 311
- DOI
- 10.5162/irs09/ip7
- ISBN
- 978-3-9810993-6-2
- Price
- free
Abstract
In this paper a new method for calculation of heat power consumption in a heat exchanger is described. The method is based on the analysis of phenomena occurring on the ambient side. The calculation of heat power consumption represents an inverse heat transfer problem. In this paper an Adaptive Neurofuzzy Inference System (ANFIS), trained with data obtaining from infrared thermography measurements is used to calculate the heat power consumption in steady state. The experiments were carried out using measuring stand with an open chamber. The problem of calculation of heat power consumption on the basis of the temperature distribution on the front surface of a radiator can be considered as the convective-radiative, inverse problem. In the typical (simple) heat transfer problem, the heat flux or fluid temperature is usually known. In the convective-radiative inverse problem, the temperature distribution on the considered surface is known. In this case, fluid parameters or the heat flux are investigated.