Monitoring flames in an industrial boiler using multivariate image analysis Journal Articles

abstract

• AbstractAn on‐line digital imaging system is developed for monitoring flames in an industrial boiler system. The information extracted from the RGB flame images is used to predict the performance of the boiler system. A practical method based on multivariate image analysis techniques and partial least squares is developed to efficiently extract information from the rapidly time varying flame images, and to predict boiler performance, NOx and SO2 concentration in the off‐gas, and the energy content of an incoming waste fuel stream. The approach is very general and can be applied to a wide range of combustion processes. © 2004 American Institute of Chemical Engineers AIChE J, 50: 1474–1483, 2004

authors

• Yu, Honglu
• Macgregor, John Frederick

status

• published 

publication date

• July 2004

has subject area

• 0904 Chemical Engineering (FoR)
• 0914 Resources Engineering and Extractive Metallurgy (FoR)
• Chemical Engineering (Science Metrix)

published in

• AIChE Journal  Journal

keywords

• Engineering
• Engineering, Chemical
• PROCESSING TECHNIQUE
• Science & Technology
• Technology
• UTILITY BOILER
• boilers
• flames
• image analysis
• partial least squares
• performance monitoring
• principa-component analysis

Digital Object Identifier (DOI)

• 10.1002/aic.10164

start page

• 1474

end page

• 1483

volume

• 50

issue

• 7