Xu, L. and Yan, Y. and Cornwell, S. and Riley, G. (2004) On-Line Fuel Identification Using Digital Signal Processing and Soft-Computing Techniques. In: Imtc/O3: Proceedings of the 20th IEEE Instrumentation and Measurement Technology Conference, vols 1 And 2. IEEE, 1 . IEEE, 345 E 47TH ST, New York, NY 10017 USA, USA pp. 1114-1118. ISBN 0-7803-7705-2 .
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This paper presents a novel approach for on-line fuel identification using digital signal processing and soft-computing techniques. Aflame detector containing three photodiodes is used to derive multiple signals covering a wide spectrum of the flame from infrared to ultraviolet through visible band Advanced digital signal processing and soft-computing techniques are deployed to identify the dynamic 'finger-prints' of the flame both in the time and frequency domains and ultimately the type of fuel being burnt. A series of experiments was carried out using a 0.5MW(th) combustion test facility operated by Innogy plc, UK. The results obtained demonstrate that this approach can be used to identify the type of fuel being burnt under steady combustion conditions.
|Item Type:||Conference or workshop item (Paper)|
|Uncontrolled keywords:||Combustion, digital signal processing (DSP), flame detector, fuel identification, fuzzy logic, soft-computing.|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications)|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems|
|Depositing User:||Yiqing Liang|
|Date Deposited:||05 Aug 2009 07:35|
|Last Modified:||14 Jan 2010 14:28|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/7606 (The current URI for this page, for reference purposes)|
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