On-line identification of biomass fuels based on flame radical and application of support vector machine techniques

Li, Xinli and Li, Ning and Lu, Gang and Yan, Yong (2013) On-line identification of biomass fuels based on flame radical and application of support vector machine techniques. In: IET Renewable Power Generation Conference 2013, 9-11 September 2013, Beijing, China. (doi:https://doi.org/10.1049/cp.2013.1737) (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)

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. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1049/cp.2013.1737

Abstract

In biomass fired power plants, a range of biomass fuels are used to generate electric power. It is vitally important to identify the type of biomass on-line in order to improve combustion efficiency, reduce emissions and ensure the boiler safety. Present research focuses on the on-line identification of biomass fuels using flame radical imaging and SVM (Support Vector Machine) techniques. The characteristic values of flame radicals, including OH*, CN*, CH* and C2*, are extracted and used to reconstruct the SVM for on-line fuel identification. Experimental results obtained on a laboratory-scale biomass-gas-fired combustion test rig demonstrate the effectiveness of the proposed method.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Biomass fuel; Flame radical; Identification; Support Vector Machine
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 02 Dec 2013 14:37 UTC
Last Modified: 29 May 2014 13:33 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/37104 (The current URI for this page, for reference purposes)
  • Depositors only (login required):