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Vol. 16, Special Issue, November 2012, pp. 226-232

 

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Intelligent Diagnosis of Coke Oven Heating Production
 
1 Gongfa Li, 2 Yuesheng Gu, 1 Jianyi Kong, 1 Guozhang Jiang and 1 Liangxi Xie

1College of Machinery and Automation,

Box 242, Wuhan University of Science and Technology, Wuhan, 430081, China

2Department of Computer Science, Henan Institute of Science and Technology,

Xinxiang 453003, Henan, China

Tel.: +86-027-68862283

E-mail: ligongfa@yahoo.com.cn

 

Received: 11 September 2012   /Accepted: 11 October 2012   /Published: 20 November 2012

Digital Sensors and Sensor Sysstems

 

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.

 

Keywords: Case-based reasoning, Intelligent diagnosis, Abnormal work condition, Coke oven heating process

 

 

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