Abstract
For reducing the fault ratio of coke oven heating process, based on the analysis of the fault mechanism and case-based reasoning (CBR), an intelligent abnormal work condition diagnosis model is proposed for the coke oven heating process. The probability of the typical fault and their operation guidance with the help of case-based reasoning technology is obtained. The knowledge representation of case and the structure of case-based are studied, and the algorithms of retrieval, learning and reuse are discussed. The proposed abnormal work condition diagnosis system is successfully applied to the coke oven heating process, the fault ratios during production process is decreased, and the proved benefit is achieved.
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, G., Kong, J., Jiang, G., Xie, L. (2011). Intelligent Diagnosis of Abnormal Work Condition in Coke Oven Heating Process by Case-Based Reasoning. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_35
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DOI: https://doi.org/10.1007/978-3-642-19853-3_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19852-6
Online ISBN: 978-3-642-19853-3
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