凝汽器故障診斷方法研究及應(yīng)用軟件開(kāi)發(fā).pdf

1、分類(lèi)號(hào)UDC：TKl6231密級(jí)：坌玨學(xué)號(hào)：Q3Q221東南大學(xué)碩士學(xué)位論文凝汽器故障診斷方法研究及應(yīng)用軟件開(kāi)發(fā)作者姓名：互丞恒導(dǎo)師姓名：塵堊壬教授申請(qǐng)學(xué)位級(jí)別王蘭亟學(xué)科專(zhuān)業(yè)名稱(chēng)墊篚王猩論文提交期2Q旦!生i月學(xué)位授予單位壅直友堂答辯委員會(huì)主席型堡望淪文答辯日期!QQ!生璺旦!旦學(xué)位授予日期!Q生旦目評(píng)閱人型焦塹肖查2006年4月東南大學(xué)碩士學(xué)位論文ABSTRACTABSTRACTIntheturbineofcondensecconde

2、nsingsyslemasacoolerisanimportantauxiliaryinsta]lationitsthermodynamiccharacteristichasaheavyimpactiononthesecurityandeconomyofarunningturbineitisimportantthatdeeplystudiestheworkingmechanismandoperatingcharacteristic，an

3、destablishthemonitoringandoptimizationmodelforfaultdiagnosisandimprovingtheoperationlevelInthispapercondensingsystem’sperformanceisdiscussed，andcondensingsystem’scommonfaultsareanalyzedandthecauseandsignsofcondenser’svac

4、uumfallingareemphasizedThejudgmentofcondenser’sfaultsisnoteasyforithasmanykindsofreasonsanditssignsarefuzzytosomeextentInthispaperfuzzyneuralnetwork，whichisfairlyadvanced，isappliedincondenser’sfaultdiagnosisAfterintroduc

5、ingfuzzylogictheoryandneuralnetworksbasis，theircomplexfuzzyneuralnetworksisdrawnforth，F(xiàn)uzzyneuralnetwork(FNN)meritsoffuzzylogicandNNitcandescribedfuzzyquestion，hasgreatcapabilitiesofstudyinganddatadirectlydisposing，hasgr

6、eatcapabilitiesofexpressionaboutknowledgestructure，hasgreatcapabilitiesoffaulttolerantInaword，F(xiàn)NNcanautomaticallyattaintoknowledge，adapttothechangeofenvironment，andadoptcollateralcalculationofnumericalvalue，sothatitisane

7、ffectivemethodwhichsolveslocalizationoftraditionalfaultdiagnosisWithMATLAB，applicationsowareforthecondensingsystemfaultdiagnosiswasconstructedbasedor]fuzzyback—propagationneuralnetwork，Thesoftwareiseasyforoperatorstooper