*001327920
*00520160622161041.0
*007ta
*008150807s2014 no# 000 0 eng
*00901482cam a2200349 c 4500
*015 $a1428430$2nbf
*019 $bl
*020 $a9788232600748$qh.
*035 $a(EXLNZ-47BIBSYS_NETWORK)991427209764702201
*035 $a(NO-LaBS)15155081(bibid)
*035 $a(NO-TrBIB)142720976
*035 $a142720976-47bibsys_network
*040 $aNO-OsNB$bnob$ekatreg
*042 $anorbibl
*044 $cno
*080 $a658.58
*08274$a006.33$qNO-OsNB$25/nor
*1001 $aZhang, Zhenyou$d1983-$0(NO-TrBIB)10064385$4aut$_60438200
*24510$aData mining approaches for intelligent condition-based maintenance :$ba framework of intelligent fault diagnosis and prognosis system (IFDPS)$cZhenyou Zhang
*260 $aTrondheim$bNorwegian University of Science and Technology, Faculty of Engineering Science and Technology, Department of Production and Quality Engineering$c2014
*300 $aXVIII, 209 s.$bill.
*4901 $aDoctoral theses at NTNU$v2014:75
*502 $aAvhandling (ph.d.) - Norges teknisk-naturvitenskapelige universitet, Trondheim, 2014
*650 7$aDatagruvedrift$2tekord$_188783700
*650 7$avedlikehold$2tekord$_187063300
*653 $adoktoravhandlinger$aph.d.$aproduksjon$akvalitetsteknikk$_60438300
*7102 $aNorges teknisk-naturvitenskapelige universitet$bInstitutt for produksjons- og kvalitetsteknikk$0(NO-TrBIB)90922360$4dgg$_204434200
*830 0$aDoktoravhandlinger ved NTNU (trykt utg.)$x1503-8181$v2014:75$w990402410684702201$_10123500
*901 $a90
*913 $aNorbok$bNB
*917 $ad
*999 $aoai:nb.bibsys.no:991427209764702202$b2021-11-14T20:11:42Z$z991427209764702202
^