LEADER 00869nam0-2200301---450- 001 990009864670403321 005 20140604110200.0 035 $a000986467 035 $aFED01000986467 035 $a(Aleph)000986467FED01 035 $a000986467 100 $a20140604d1948----km-y0itay50------ba 101 0 $afre 102 $aFR 105 $a--------001yy 200 1 $aPourquoi le plan marshall?$eput yourself in Marshall's place$fJames P. Warburg$gtraduit de l'anglais par Herve Laroche 210 $aParis$ceditions Self$d1948 215 $a424 p.$d18 cm 676 $a338.917304 700 1$aWarburg,$bJames P.$0126480 702 1$aLaroche,$bHervé 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009864670403321 952 $aO/1.343 WAR$b24501/F$fSES 959 $aSES 996 $aPourquoi le plan marshall$9827893 997 $aUNINA LEADER 02985nam 2200421 450 001 9910583315003321 005 20170103100354.0 010 $a0-12-811535-1 035 $a(CKB)3710000000932955 035 $a(MiAaPQ)EBC4732265 035 $a(CaSebORM)9780128115350 035 $a(PPN)198055676 035 $a(EXLCZ)993710000000932955 100 $a20161116h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aIntelligent fault diagnosis and remaining useful life prediction of rotating machinery /$fYaguo Lei 205 $a1st edition 210 1$aAmsterdam, [Netherlands] :$cXi'an Jiaotong University Press :$cElsevier,$d2017. 210 4$d©2017 215 $a1 online resource (378 pages) $cillustrations (some color), charts, graphs 311 $a0-12-811534-3 320 $aIncludes bibliographical references at the end of each chapters and index. 330 $aIntelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction based on the current achievements of the author's research group. The main contents include multi-domain signal processing and feature extraction, intelligent diagnosis models, clustering algorithms, hybrid intelligent diagnosis strategies, and RUL prediction approaches, etc. This book presents fundamental theories and advanced methods of identifying the occurrence, locations, and degrees of faults, and also includes information on how to predict the RUL of rotating machinery. Besides experimental demonstrations, many application cases are presented and illustrated to test the methods mentioned in the book. This valuable reference provides an essential guide on machinery fault diagnosis that helps readers understand basic concepts and fundamental theories. Academic researchers with mechanical engineering or computer science backgrounds, and engineers or practitioners who are in charge of machine safety, operation, and maintenance will find this book very useful. Provides a detailed background and roadmap of intelligent diagnosis and RUL prediction of rotating machinery, involving fault mechanisms, vibration characteristics, health indicators, and diagnosis and prognostics Presents basic theories, advanced methods, and the latest contributions in the field of intelligent fault diagnosis and RUL prediction Includes numerous application cases, and the methods, algorithms, and models introduced in the book are demonstrated by industrial experiences 606 $aMachinery 615 0$aMachinery. 676 $a621.8 700 $aLei$b Yaguo$0983733 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910583315003321 996 $aIntelligent fault diagnosis and remaining useful life prediction of rotating machinery$92245995 997 $aUNINA