NDLI: Recognition of Furnace Flame Combustion Condition Based on Stochastic Model

Content Provider	IEEE Xplore Digital Library
Author	Xin Zhang Pu Han Bing Wang
Copyright Year	2006
Description	Author affiliation: Autom. Dept., North China Electr. Power Univ., Baoding (Xin Zhang; Pu Han)
Abstract	The recognition of the furnace flame combustion condition is an important domain in the flame monitoring system. In recent years, the image processing technology is widely applied to detection of the flame combustion condition. The combustion in furnace, such as the combustion of the pulverized coal, is the complex, stochastic and unstable burning process. The flame images are static and include a lot of noise signals from different reasons; so the method based on the processing of the single image does not reflect the combustion in furnace exactly. In this paper, the stochastic model, that is, hidden Markov model (HMM) is introduced to achieve modeling and recognition of the flame combustion condition in furnace. It makes use of a hidden Markov process to characterize the image frames correlation in the image sequences and transition of image states where the model parameters are determined by the feature vectors of image frames that form the observation sequences. Experiments demonstrate that the HMM can better describe the flame combustion condition in the furnace so as to improve recognition performance
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	3934
Ending Page	3939
File Size	1248297
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258749
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Furnaces Fires Combustion Stochastic processes Hidden Markov models Stochastic resonance Condition monitoring Image processing Signal processing Image sequences Image frame Recognition Hidden Markov model Flame image Combustion condition
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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