LEADER 02510nam 2200661 a 450 001 9910961921703321 005 20251117075804.0 010 $a1-61470-111-3 035 $a(CKB)2670000000129264 035 $a(EBL)3019391 035 $a(SSID)ssj0000690370 035 $a(PQKBManifestationID)12267015 035 $a(PQKBTitleCode)TC0000690370 035 $a(PQKBWorkID)10620322 035 $a(PQKB)11751908 035 $a(MiAaPQ)EBC3019391 035 $a(Au-PeEL)EBL3019391 035 $a(CaPaEBR)ebr10670956 035 $a(OCoLC)923661039 035 $a(BIP)23699488 035 $a(EXLCZ)992670000000129264 100 $a20080909d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction of intelligent machine fault diagnosis and prognosis /$fBo-Suk Yang and Achmad Widodo 205 $a1st ed. 210 $aNew York $cNova Science Publishers$dc2009 215 $a1 online resource (363 p.) 300 $aDescription based upon print version of record. 311 08$a1-60692-263-7 320 $aIncludes bibliographical references and index. 327 $aData acquisition, processing, and analysis -- Feature extraction and clustering -- Feature selection -- Fault classification algorithms -- Decision fusion algorithms -- Fault prognosis algorithms. 330 $aThis text book is easy to study; even if the reader is a beginner in the fault diagnosis area, they do not need special prerequisite knowledge to understand the contents. The book is equipped with software under MATLAB and offers many examples which are related to fault diagnosis processes. 606 $aFault location (Engineering)$xAutomation 606 $aAutomatic test equipment 606 $aExpert systems (Computer science) 606 $aConscious automata 606 $aMachine learning 606 $aMachinery$xTesting 615 0$aFault location (Engineering)$xAutomation. 615 0$aAutomatic test equipment. 615 0$aExpert systems (Computer science) 615 0$aConscious automata. 615 0$aMachine learning. 615 0$aMachinery$xTesting. 676 $a620/.0044 700 $aYang$b O-Suk$01870034 701 $aWidodo$b Achmad$01870035 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910961921703321 996 $aIntroduction of intelligent machine fault diagnosis and prognosis$94478355 997 $aUNINA