基于振動(dòng)頻譜分析的球磨機(jī)存煤量測(cè)控與優(yōu)化.pdf

1、東南大學(xué)碩士學(xué)位論文基于振動(dòng)頻譜分析的球磨機(jī)存煤量測(cè)控與優(yōu)化姓名：朱明申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：熱能工程指導(dǎo)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