基于支持向量機(jī)的氧乙炔火焰燃燒狀態(tài)分類研究.pdf

1、河北大學(xué)碩士學(xué)位論文基于支持向量機(jī)的氧乙炔火焰燃燒狀態(tài)分類研究姓名：劉英申請學(xué)位級別：碩士專業(yè)：電路與系統(tǒng)指導(dǎo)教師：張欣20100601AbstractIIAbstractThecombustioniswidelyappliedinthefiledofagricultureindustrytransptationnationaldefensesoonithasbecometheimptantsourceofenergyrequireme

2、nts.Thecombustionperfmancehasthevitalsignificancetothepeople’slifetheindustrialproductionconsideringtothesecuritytheefficiencytheenvironmentalprotection.Accompanywiththecomplexphysicalchemicalreactionsvariousfactsalsohav

3、emutualinfluencethecomplexityofthecombustionisincreasedthusitisdifficulttomeasurecontrolthecombustionprocess.Therefethemonitingthediagnosisofthecombustionprocesshavebeenaprospectresearchsubject.Theoxyacetyleneflameisused

4、intheindustrialproductionwidely.Thesecuritytheefficiencyoftheapplicationdrawpeople’sattentionmeme.Theautomaticmonitingrecognitionoftheoxyacetyleneflamecombustionstateswouldbehelpfultoincreasethecombustionefficiencyreduce

5、thepollution.Flameisthedirectreflectionofthecombustioncontainsalargeofcombustioninfmation.Withthedevelopmentofthedigitalimageprocessingtechnologythecomputertechnologyflameimagehasprovidedanewwayfthecombustiondiagnosis.Su

6、pptvectmachine(SVM)basedonthestatisticstheydisplaysfineperfmanceinsolvingproblemswithsmallsamplesnonlinearityhighdimension.SVMhasbecomethehotspotinthecombustiondiagnosisresearch.Thispaperlaunchedtheresearchaccdingtotheab

7、ove.Theimageprocessingwerecarriedontheoxyacetyleneflameimagestheacteristicswereextractedthenwestudiedtherelationsbetweentheflameimagesthecombustionperfmanceatlasttheautomaticrecognitionofthecombustionstateswererealizedad

8、optingSVMalgithm.Thewkdoneinthispaperprovidedthebasistofurtheroptimizingtheintelligentmonitingofthecombustionstates.Onthebasisofanalysingthetraditionalimagefilteringmethodsautoadaptedvotingfastmedianfilteringalgithm(AVMF