An Improved Algorithm, for the Measurement of Flame Oscillation Frequency

Xu, Lijun and Yan, Yong (2007) An Improved Algorithm, for the Measurement of Flame Oscillation Frequency. IEEE Transactions on Instrumentation and Measurement, 56 (5). pp. 2087-2093. ISSN 0018-9456 . (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)

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The oscillation frequency of a combustion flame measured from the spectrum of a flame signal often depends on the level of white noise in the signal as well as the signal sampling rate. In order to solve this problem, a new computing algorithm has been developed by making two improvements to the original direct calculation method. One of the improvements is the wavelet-based pre-filtering of the original flame signal. The other is an adaptive truncation of the spectrum of the filtered signal. It is found that the white noise can be largely cancelled by wavelet filtering. To decrease the smearing effect of the remaining noise a spectrum truncation scheme is utilised. The effectiveness of the improved algorithm is evaluated by conducting a series of experimental tests on an industrial scale combustion test facility. Results obtained are reported and discussed.

Item Type: Article
Uncontrolled keywords: combustion; flame stability; oscillation frequency; signal filtering; spectral analysis; wavelet denoising
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA166 Instrumentation
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Yiqing Liang
Date Deposited: 28 Jul 2008 10:23
Last Modified: 02 May 2014 09:28
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