摘要
Shannonentropyintimedomainisameasureofsignalorsystemuncertainty.Whenbasedonspectrumentropy,Shannonentropycanbetakenasameasureofsignalorsystemcomplexity.Therefore,waveletanalysisbasedonwaveletentropymeasurecansignifythecomplexityofnon-steadysignalorsysteminbothtimeandfrequencydomain.Inthispaper,inordertomeettherequirementsofpost-analysisonabundantwavelettransformresultdataandtheneedofinformationmergence,thebasicdefinitionofwaveletentropymeasureisproposed,correspondingalgorithmsofseveralwaveletentropies,suchaswaveletaverageentropy,wavelettime-frequencyentropy,waveletdistanceentropy,etc.areputforward,andthephysicalmeaningsoftheseentropiesareanalyzedaswell.TheapplicationprincipleofwaveletentropymeasureinElectroEncephaloGraphy(EEG)signalanalysis,mechanicalfaultdiagnosis,faultdetectionandclassificationinpowersystemareanalyzed.Finally,takethetransmissionlinefaultdetectioninpowersystemforexample,simulationsintwodifferentsystems,a10kVautomaticblockingandcontinuouspowertransmissionlineanda500kVExtraHighVoltage(EHV)transmissionline,arecarriedout,andthetwomethods,waveletentropyandwaveletmodulusmaxima,arecompared,theresultsshowfeasibilityandapplicationprospectofthesixwaveletentro-pies.
出版日期
2007年05月15日（中国期刊网平台首次上网日期，不代表论文的发表时间）
