LEADER 03471nam  22006015  450 
001 9910157642503321
005 20220407193712.0
024 7 $a10.1007/978-3-662-53430-4
035   $a(CKB)3710000000984032
035   $a(DE-He213)978-3-662-53430-4
035   $a(MiAaPQ)EBC4773491
035   $a(PPN)197453317
035   $a(EXLCZ)993710000000984032
100   $a20161222d2017      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aTime series analysis methods and applications for flight data$b[electronic resource] /$fby Jianye Zhang, Peng Zhang
205   $a1st ed. 2017.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2017.
215   $a1 online resource (X, 240 p. 161 illus., 35 illus. in color.)
311   $a3-662-53428-2 
311   $a3-662-53430-4 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Preprocessing of Flight Data -- Typical Time Series Analysis for Flight Data -- Similarity Search for Flight Data -- Condition Monitoring and Trend Prediction Based on Flight Data -- Design and Implementation Of flight Data Mining System.
330   $aThis book focuses on different facets of flight data analysis, including the basic goals, methods, and implementation techniques. As mass flight data possesses the typical characteristics of time series, the time series analysis methods and their application for flight data have been illustrated from several aspects, such as data filtering, data extension, feature optimization, similarity search, trend monitoring, fault diagnosis, and parameter prediction, etc. An intelligent information-processing platform for flight data has been established to assist in aircraft condition monitoring, training evaluation and scientific maintenance. The book will serve as a reference resource for people working in aviation management and maintenance, as well as researchers and engineers in the fields of data analysis and data mining.
606   $aAerospace engineering
606   $aAstronautics
606   $aComputational intelligence
606   $aData mining
606   $aArtificial intelligence
606   $aAerospace Technology and Astronautics$3https://scigraph.springernature.com/ontologies/product-market-codes/T17050
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aAerospace engineering.
615  0$aAstronautics.
615  0$aComputational intelligence.
615  0$aData mining.
615  0$aArtificial intelligence.
615 14$aAerospace Technology and Astronautics.
615 24$aComputational Intelligence.
615 24$aData Mining and Knowledge Discovery.
615 24$aArtificial Intelligence.
676   $a629.1
700   $aZhang$b Jianye$4aut$4http://id.loc.gov/vocabulary/relators/aut$0656223
702   $aZhang$b Peng$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910157642503321
996   $aTime Series Analysis Methods and Applications for Flight Data$91954813
997   $aUNINA