LEADER 00922nam0-22003011i-450- 001 990000076200403321 035 $a000007620 035 $aFED01000007620 035 $a(Aleph)000007620FED01 035 $a000007620 100 $a20011111d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aThéorie succinte, description, conduite et entretien du moteur Diesel$fpar Y. Le Gallou avec la collaboration de F.Bounhoure. 205 $a2. éd. 210 $aParis$cDunod$d1925 215 $aXIII, 316 p.$cill.$d28 cm 610 0 $aMotori Diesel 676 $a621.436 700 1$aLe Gallou,$bYves Marie$0332479 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000076200403321 952 $a13 L 26 30$b6267$fFINBC 959 $aFINBC 996 $aThéorie succinte, description, conduite et entretien du moteur Diesel$9110544 997 $aUNINA DB $aING01 LEADER 02969oam 22005535 450 001 9910392740503321 005 20250610110104.0 010 $a3-030-46263-3 024 7 $a10.1007/978-3-030-46263-5 035 $a(OCoLC)1153088583 035 $a(CKB)4100000011208415 035 $a(MiAaPQ)EBC6183866 035 $a(DE-He213)978-3-030-46263-5 035 $a(PPN)243762941 035 $a(MiAaPQ)EBC6183848 035 $a(MiAaPQ)EBC29092637 035 $a(EXLCZ)994100000011208415 100 $a20200425d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData-driven detection and diagnosis of faults in traction systems of high-speed trains /$fHongtian Chen, Bin Jiang, Ningyun Lu, Wen Chen 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (xiii, 160 pages) $cillustrations 225 1 $aLecture Notes in Intelligent Transportation and Infrastructure,$x2523-3440 311 0 $a3-030-46262-5 320 $aIncludes bibliographical references. 327 $aIntroduction -- Traction Systems and Experimental Platforms -- Basics of Data-driven FDD Methods -- Multi-mode PCA-based FDD Methods -- Probability-relevant PCA-based FDD Methods -- Deep PCA-based FDD Methods -- PCA and Kull back-Leibler Divergence-based FDD Methods -- PCA and Hellinger Distance-based FDD Methods -- Conclusions and Further Work. 330 $aThis book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences. 410 0$aLecture Notes in Intelligent Transportation and Infrastructure,$x2523-3440 606 $aFault location (Engineering) 606 $aHigh speed trains 615 0$aFault location (Engineering) 615 0$aHigh speed trains. 676 $a385.22 700 $aChen$b Hongtian$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063057 702 $aJiang$b Bin$f1966-$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLu$b Ningyun$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChen$b Wen$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910392740503321 996 $aData-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains$92529882 997 $aUNINA