Monitoring near burner slag deposition with a hybrid neural network system

Measurement Science and Technology

Volumn 14, Issue 7, 2003, Pages 1137-1145

  Tan, C K ^a   Wilcox, S J ^a   Ward, J ^a   Lewitt, M ^b  

^a UNIVERSITY OF GLAMORGAN   (United Kingdom)

^b Casella CRE Energy   (United Kingdom)

Author keywords

Burner eyebrow; Coal fired boiler; Neural networks

Indexed keywords

COMBUSTION; DEPOSITION; FREQUENCY DOMAIN ANALYSIS; FUEL BURNERS; INFRARED RADIATION; MONITORING; PULVERIZED FUEL; RADIAL BASIS FUNCTION NETWORKS; SELF ORGANIZING MAPS;

HYBRID NEURAL NETWORKS;

SLAGS;

NEURAL NETWORK;

EID: 0038335287     PISSN: 09570233     EISSN: None     Source Type: Journal    
DOI: 10.1088/0957-0233/14/7/332     Document Type: Article

References (16)

1. Raask E 1985 Prevention of deposit build-up in burner quarls Mineral Impurities in Coal Combustion (London: Hemisphere)
2. Boyd R K and Lowe A 1990 Clinker formation on refractory surfaces in pulverised fuel boilers Proc. Coal Handling and Utilization Conf. (Sydney) (Barton, ACT: Institution of Engineers) pp 232-6
3. Boyd R K and Foreman C L 1992 Reduction of ash deposition around the swirl burners of a utility boiler Proc. 2nd Australia Workshop on Ash Deposition (Brisbane) (North Ryde, NSW: ACIRL) pp 1-10
4. Boyd R K and Kent J H 1994 Comparison of large scale boiler data with combustion model predictions Energy Fuels 8 124-30
5. Tenbrink H M, Eenkhoorn S and Hamburg G 1996 A mechanistic study of the formation of slags from iron-rich coals Fuel 75 952-8
6. Tenbrink H M, Smart J P, Vleeskens J M and Williamson J 1994 Flame transformations and burner slagging in a 2.5 MW furnace firing pulverised coal: part 1. Flame transformations Fuel 73 1706-11
7. Tenbrink H M, Smart J P, Vleeskens J M and Williamson J 1994 Flame transformations and burner slagging in a 2.5 MW furnace firing pulverised coal: part 2. Slagging Fuel 73 1712-17
8. Dik E P and Serant F A 1985 Slagging and ways of its reduction in coal-fired boiler units Symp. on Reduction of Harmful Flue Gas Emissions (Espoo) (Finland: Energy Research) pp 75-87
9. Lu G, Yan Y, Huang Y and Reed A 1999 An intelligent vision system for monitoring and control of combustion flames J. Meas. Control 32 164-8
10. Khesin M and Strohecker B 1997 Application of a new burner diagnostic system for coal-fired utility boilers Proc. 7th Annual ISA POWID/EPRI Controls and Instrumentation Conf. (Knoxville, TN) (Research Triangle Park, NC: ISA) pp 127-36
11. Khesin M 1996 Demonstration of new frequency-based flame monitoring system Proc. 58th American Power Conf. Part 2 (Chicago) (Chicago: Illinois Inst. of Technology) pp 1010-13
12. Hashimoto H, Miyamae S, Makino K, Jama-Ogi K, Matsuda H and Kotani T 1992 Development of flame diagnostic system for a coal-firing boiler Proc. Int. Power Generation Conf. (Atlanta, GA) (New York: ASME) pp 1-8
13. Vesanto J, Himberg J, Alhoniemi E and Parhankangas J 2000 SOM Toolbox for Matlab 5, Report A57. http://www.cis.hut.fi/projects/somtoolbox/
14. Dwight F M 1995 Random Signal Processing (London: Prentice-Hall)
15. Tang L W, Zheng H Q, Wang W, Zhang Y T and Zhang Z M 1999 Features analysis about vibration signals on the gearbox in a vehicle Proc. 3rd Int. Symp. on Test and Measurement (Xi'an, China) (Beijing: Int. Acad. Publ.) pp 688-92
16. Chungchoo C and Saini D 2000 The total energy and total entropy of force signals-new parameters for monitoring oblique turning operations Int. J. Machine Tools Manufacture 40 1879-97