Automated char classification using image analysis and artificial intelligence
by Alpana; Satish Chand; Subrajeet Mohapatra; Vivek Mishra
International Journal of Oil, Gas and Coal Technology (IJOGCT), Vol. 28, No. 2, 2021

Abstract: Coal is one of the most available sources of energy worldwide, and is used vigorously. Char particles are formed by devolatising of coal during combustion and signify the foremost step in the ignition method. Char particles are categorised into two reactive phases based on their morphologies by experts, namely reactive and non-reactive. These are taken into consideration to estimate the impact of coal on the burner's performance. Presently, the semi-automatic method is followed by industries to determine the classification of char groups. This conventional method is time-consuming and subjective. Char characterisation may be executed automatically with advantages like fast processing and consistency. In this article, we attempt to suggest an automated scheme for classification of char into its reactive and non-reactive groups using image analysis and artificial intelligence methods. Subsequently, the proposed system is recognised to be an efficient technique for characterisation of char with more accurate results in reduced computational time. [Received: December 20, 2019; Accepted: April 26, 2020]

Online publication date: Tue, 07-Sep-2021

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