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A Comprehensive State Monitoring System for Lime Shaft Kilns Based on Fuzzy Logic and Improved GMDH Algorithm

Department of Chemical Engineering, Hamhung Branch of Science University, Prof. Jong Nam, Hamhung, DPRK 99903, North Korea

Received: 17 May 2026; Revised: 25 May 2026; Accepted: 28 May 2026; Available online: 8 Jul 2026; Published: 26 Dec 2026.
Editor(s): Istadi Istadi
Open Access Copyright (c) 2026 by Authors, Published by Universitas Diponegoro and BCREC Publishing Group
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
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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).

Keywords: Lime Shaft Kiln; Soft Sensor; Group Method of Data Handling (GMDH); Fuzzy Logic; State Identification; Flue Gas Composition

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