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Chung Hyon Hwang
Department of Chemical Engineering, Hamhung Branch of Science University, Prof. Jong Nam, Hamhung, DPRK 99903
Chemical Engineering, Chemistry & Bioengineering Energy Engineering Materials Science & Nanotechnology

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A Comprehensive State Monitoring System for Lime Shaft Kilns Based on Fuzzy Logic and Improved GMDH Algorithm Jong Nam Kim; Hong Yon Han; Chun Bae Ma; Yong So; Ryong Hyok Ri; Chung Hyon Hwang
Journal of Chemical Engineering Research Progress 2026: JCERP, Volume 3 Issue 2 Year 2026 (December) (Issue in Progress)
Publisher : UPT Laboratorium Terpadu, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jcerp.20741

Abstract

Efficient and environmentally friendly operation of lime shaft kilns requires accurate real-time monitoring of calcination zone status and flue gas composition. This paper concerns on an integrated monitoring system that combines fuzzy logic and an improved Group Method of Data Handling (GMDH) algorithm. First, 18-rule-based fuzzy logic diagnostic model identifies the operational state of the calcination zone with 94.2% accuracy. Second, an enhanced GMDH algorithm with novel data preprocessing and feature selection mechanisms serves as a soft sensor for predicting CO₂, CO, and O₂ concentrations. Experimental results from a 10,000-ton/year vertical lime kiln demonstrate that the improved GMDH achieves mean absolute errors of 1.5% for CO₂, 2.9% for CO, and 3.0% for O₂, representing a 43.2% improvement over conventional methods. Field application shows 8.3% reduction in fuel consumption and 15.2% reduction in CO emissions, confirming the system's practical value for industrial process optimization. Copyright © 2026 by Authors, Published by Universitas Diponegoro and BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
Co-Authors Chun Bae Ma Hong Yon Han Jong Nam Kim Ryong Hyok Ri Yong So