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Flame Stability Monitoring and Characterization through Digital Imaging and Spectral Analysis

Sun, Duo, Lu, Gang, Zhou, Hao, Yan, Yong (2011) Flame Stability Monitoring and Characterization through Digital Imaging and Spectral Analysis. Measurement Science and Technology, 22 (11). p. 114007. ISSN 0957-0233. (doi:10.1088/0957-0233/22/11/114007) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30192)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1088/0957-0233/22/11/114007

Abstract

This paper presents the design, implementation and evaluation of an instrumentation system

for the stability monitoring and characterization of combustion flames. The system,

incorporating optical sensing, image processing and spectral analysis techniques, is designed

to monitor a range of flame characteristic parameters. The stability of the flame is assessed

through statistical analysis of the flame parameters obtained. Embedded computer techniques

are employed to ensure the compactness and robustness of the system. Experiments were

conducted on a gas-fired combustion test rig to evaluate the system. The impact of equivalence

ratio on the stability of the gaseous flame is investigated. Further trials were carried out on a 9 MWth heavy-oil-fired combustion test facility. The impact of the swirl vane angle of tertiary air on the oil-fired flames is studied. The results demonstrate the effectiveness of the system for the monitoring and characterization of the flame stability.

Item Type: Article
DOI/Identification number: 10.1088/0957-0233/22/11/114007
Uncontrolled keywords: flame monitoring, flame stability, photo-detector, CMOS camera, image processing, embedded systems, spectral analysis
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: J. Harries
Date Deposited: 17 Aug 2012 14:33 UTC
Last Modified: 16 Nov 2021 10:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/30192 (The current URI for this page, for reference purposes)

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