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A Study on the Monitoring Method of Heating Surface Pollution of the Boiler Based on the Clustering Analysis

Author: YangYuQin
Tutor: LiuHe
School: North China Electric Power University (Beijing)
Course: Pattern Recognition and Intelligent Systems
Keywords: convection heat surface thermal calculation model cleaning coefficient clustering analysis fault diagnosis
CLC: TM621.2
Type: Master's thesis
Year: 2009
Downloads: 45
Quote: 0
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Abstract


To study large-capacity coal-fired utility boilers unit standard method of calculation,on the basis of the heat balance principle,this paper constructs boiler convection heat model and calculates the actual operation of the heat coefficient and cleaning state of the ideal heat coefficient.According to the previous research,this paper establishes the cleaning coefficient which can reflect the real-time heating surface pollution,and extracts fouling fault characteristic parameters of the boiler superheater.And then,clusters the superheater state of the pollution and cleaning by the K-means clustering analysis method,at last,it verifies the results from the field data,accordingly,it’s to lay a theoretical basis for forecast fault diagnosis of gray of the convection heat surface of the boiler,as well as the optimization of blowing mode of the boiler.

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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Power plant > Thermal power plants, thermal power stations > Boilers and combustion systems
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