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Fly ash unburned carbon content is an important factor affect the boiler thermal's efficiency. Least squares support vector machine is more suitable for real-boiler test conditions with fewer small sample study,We introduced this method into power plant boiler fly ash carbon content prediction model, established complex models relationship between the boiler fly ash carbon content characteristics...
This paper presents a support vector machine algorithm to use to monitor the state of the furnace flame method. Through the comparison of several methods of monitoring found that the flame images, the basic brightness from the flame (through digital image processing methods will be broken down into its R, G, B RGB images), the flame area (camera video of the burning flame pixels area) in several aspects,...
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