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Based on Information Fusion to Determine the Combustion Heat Anomaly

Author: ZhangJiangJun
Tutor: LiuJiZhen；NiuYuGuang；LiJinFeng
School: North China Electric Power University (Hebei)
Course: Control Engineering
Keywords: Evidence Theory Heat signal Information Fusion
CLC: TM621.2
Type: Master's thesis
Year: 2009
Downloads: 25
Quote: 1
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Abstract


Boiler combustion is an extremely complex process influenced by many factors combustion stability and combustion heat normal fat calories normal factors affecting boiler combustion analysis , from the point of view of information fusion using resolve uncertainty powerful method DS evidence theory to establish thermal combustion heat anomaly judgment model , and combined with field measurement point , select the load , the main steam flow , the total amount of wind , the coal pulverizer current , air preheater inlet temperature of the smoke , superheater less warm water flow as the body of evidence in DS evidence theory , using the acquisition method based on a representative sample of the various evidence given basic probability assignment . Run the data through the scene of the evaluation model evaluation , test results show that the model can accurately judge whether abnormal heat of combustion .

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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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