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Flame Shape Prediction with Artificial Neural Network


Author : Sameer Dubey and Anil Dubey

Pages : 563-566, DOI:http://Dx.Doi.Org/10.14741/Ijcet/Spl.2.2014.107
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Abstract

A flame shape descriptor based on coordinates of edge of a flame is proposed. Artificial Neural Network is used to predict flame image edges .A flame with constant x-coordinate is used in the present study. Y-coordinates of flame edge are predicted using neural network. Recognition experiments were carried out using flame image sampled from a burning candle. The results show a good recognition effectiveness of 89.206 for predicting the next image in the sequence. This work finds its use in all industries which use flames controlled by human observation e.g. rotary kiln, sponge iron recycler pots, flame flaring arrangements in refineries etc.

Keywords: Artificial Neural Network, Flame shapes Prediction, Automation, Flame shape prediction, Automatic Flame Control.

Article published in International Conference on Advances in Mechanical Sciences 2014, Special Issue-2 (Feb 2014)

 

 

 

 

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