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JACIII Vol.24 No.2 pp. 221-231
doi: 10.20965/jaciii.2020.p0221
(2020)

Paper:

Assessment of Coke Oven Operating State Using Trend Analysis and Information Entropy

Qi Lei and Fengmei Guo

School of Automation, Central South University
932 Lushan Road, Changsha, Hunan 410083, China

Received:
December 31, 2019
Accepted:
January 30, 2020
Published:
March 20, 2020
Keywords:
coke oven, operating state assessment, qualitative trend analysis, information entropy
Abstract

In the combustion process of a coke oven, it is crucial to evaluate the operating state to ensure control performance for the stabilization of the coke oven temperature. This paper presents an assessment method for a coke oven operating state based on the analysis of the mechanism. A coke oven, which is an integrator, is categorized into serial subsystems, which include two coking chambers and one combustion chamber. First, the raw gas temperature of every coking chamber is extracted online and is combined with the qualitative trend analysis that yields the feature point of the raw gas temperature. Subsequently, fuzzy method is presented to describe the uncertainty and evaluate the heat level of each subsystem. Finally, a comprehensive assessment of the operating state of the coke oven is performed by combining the weighted contribution of all subsystems, which is expressed by information entropy. Simulations and experiments demonstrate the validity of the method.

Cite this article as:
Q. Lei and F. Guo, “Assessment of Coke Oven Operating State Using Trend Analysis and Information Entropy,” J. Adv. Comput. Intell. Intell. Inform., Vol.24, No.2, pp. 221-231, 2020.
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Last updated on Aug. 09, 2020