基于振動頻譜分析的球磨機存煤量測控與優(yōu)化.pdf

1、東南大學碩士學位論文基于振動頻譜分析的球磨機存煤量測控與優(yōu)化姓名：朱明申請學位級別：碩士專業(yè)：熱能工程指導教師：呂震中20040301ABSTRACTABSTRACTInaccordancewiththedevelopmentofelectricpowerindustry，powerstationsarefacingdrasticcompetitiontomakemoreprofitPulverizingsystemisallimpor

2、tantsubsystemwhichusedtoomuchstationservicepowersuppliesSoitcanworkoutmuchmorepotentialitiesinenergyconservationandoperationoptimizationPulverizingsystemhastwomainproblemsOneisthelzighpulverizationpowercostandlowautocont

3、rolrateOWeStothelackofeffectivemeasurementofcoalloadinballmillneotheroneisnonstandardoperationandmaintenanceofsteelballsintheballmillThereisnomethodtodiagnosetheheapedloadanddiametricproportionofsteelballsafterthemillrun

4、，sotheoperationandoptimizationhavenobasesWithouttherightsupervisionthemillbecomealowefficiencyandhighcostsystemInordertosolvethetwoproblems，spectrumanalyses，amodemdigitalsignaltechnology，istobeusedinthecoalloadmeasuremen

5、tandsteelballsdiagnosesThenewmethodsettledthekeyproblemofpulverizingsystem’SautocontrolandoptimizationThemaincontentsofthisdissertationareasfollows：1Analyzedthephysicalmodelofcoalloadinthemillaccordingtotheoperatingprinc

6、ipleandthematerialsmovinginthemillDemonstratedthemeasurementtheoryofthecoalloadbasedonthemill’SbeatingsvibrationUsedthen瓦aspectrummethod，tOanalysesthevibrationsignalsAllabovelayafoundationofthenextresearchandexaminationw

7、ork2Gottheabundantdatafromthefinishedballmillexamination11lespectrumanalyses’resultsofthevibrationaccordwiththerealworkconditionswhichprovedthemeasurementtheoryandmethodofcoalloadiscorrectAnalyzedthemill’Sresponsetothelo

8、adstepandjudgedtheaccidentoperatingmode3Formulatedthediagnosistheoryofthesteelballs’conditionintheworkingmillGottwousefulspectruminformation，centerfrequencyandpercentagesofvibrationpowerwhichareusedtodiagnosesteelballs’a

9、brasionandtherealtimeballdiametermixtureratioRepresentedthesteelballsoptimizeddecision—makingbasedonthediagnosis4Monitoredanddisplayedthecoalloadaccordingtothemills’beatingsvibrationpowerandtheDCSdatawhichhelpedthemilllo

10、adcontroleasierRepresentedthecoalloadoptimizedecision—makinganddesignedthemill’Sautocontmlschemeaboutload，inputentrynegativepressure，andexittemperature5Analyzedthebinfeederanddirectpulverizingsystempulverizingsystems’opt

11、imizationneedofcoalload，steelballsandventilationquantityRepresentedtheoptimizationdecision—makingrulesofcoalloadandsteelballsDesignedthemill’SoptimizedschemebasedonneuralnetworksBasedonabundancedataacquisitionoffieldexpe

12、riments，monitoredthemill’Scoalloadanddiagnosedthesteelballsconditionsbyusingthemodemdigitalsignalprocessingmethodnamed吼whichfilledupthetechnologyblankSolvedthekeyproblemofpulverizingsystem’Sautomation，operation—optimizat