By Topic

Identification of an Electric Resistance Furnace

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kam Chee Chook ; Multimedia Univ., Cyberjaya ; Ai Hui Tan

In this paper, the identification of an electric resistance furnace is described. Physical modeling is applied to obtain a mathematical description that captures the static and dynamic behavior of the furnace. Experimental data are collected and used for estimating the parameters of the furnace, which is found to be a dominantly first-order system. First-order linear, bilinear, and direction-dependent models are employed to describe the characteristics of the furnace. A comparison between the quality of these models is made. It was found that the bilinear model provides the best fitting among the three models considered for this particular application.

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:56 ,  Issue: 6 )