Coal mill early warning system based on the combination of thermodynamic mechanism and data mining
In order to realize the early warning of the coal mill and to improve the stability of the coal mill .On the basis of thermodynamics, the internal coal quality, moisture quality, and energy balance of the Hp934 mediumspeed coal mill were analyzed, and the characteristic parameters that characterize...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2020-02-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1819 |
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| Summary: | In order to realize the early warning of the coal mill and to improve the stability of the coal mill .On the basis of thermodynamics, the internal coal quality, moisture quality, and energy balance of the Hp934 mediumspeed coal mill were analyzed, and the characteristic parameters that characterize the operation of the coal mill were determined. Using correlation analysis, normal distribution and confidence algorithm to excavate a large number of actual production data, determine the boundaries of various characteristic parameters of stable operation of the coal mill under various operating conditions, formulate the early warning rules, and establish the early warning model of coal mill.The test results show that the model can accurately determine the early operation anomalies of the coal mill earlier, prove the effectiveness and feasibility of the early warning model, and provide reference for the operation and maintenance of the coal mill.
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| ISSN: | 1007-2683 |