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Content Provider | IEEE Xplore Digital Library |
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Author | Jinxin Liu Yunlong Zhu Peng Sun |
Copyright Year | 2010 |
Description | Author affiliation: Shenyang Institute of Automation(SIA), Chinese Academy of Sciences, China (Jinxin Liu; Yunlong Zhu) || Criminal Technical Department, China Criminal Police University, Shenyang, China (Peng Sun) |
Abstract | Because of complex status of the burning zone, cement rotary kiln production control depends on man-watch operation mode, which causes problems of weak coherence of product quality and big depletion of resources. Put forward a computer-recognition system for Sintering status recognition by image processing and pattern recognition techniques, then design and develop a recognition system for cement rotary kiln process with this new Sintering status recognition method. Experiments prove the validity and functionality of the system, it can satisfy the demands of the industrial process, and the application provides important optimal production index for process control. |
File Size | 1346904 |
File Format | |
ISBN | 9781424472352 |
e-ISBN | 9781424472376 |
DOI | 10.1109/ICCASM.2010.5622727 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-10-22 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Support vector machines Kilns Sintering status Image recognition Fires Cement rotary kiln Software Pattern recognition Component Flame image processing Monitoring |
Content Type | Text |
Resource Type | Article |
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