LEADER 03023nam 2200589Ia 450 001 9910451300703321 005 20200520144314.0 010 $a1-280-92914-6 010 $a9786610929146 010 $a1-84663-479-2 035 $a(CKB)1000000000337256 035 $a(EBL)306206 035 $a(OCoLC)191818267 035 $a(SSID)ssj0000465345 035 $a(PQKBManifestationID)11302462 035 $a(PQKBTitleCode)TC0000465345 035 $a(PQKBWorkID)10456983 035 $a(PQKB)11721092 035 $a(MiAaPQ)EBC306206 035 $a(Au-PeEL)EBL306206 035 $a(CaPaEBR)ebr10185524 035 $a(CaONFJC)MIL92914 035 $a(EXLCZ)991000000000337256 100 $a20070112d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAdvances in degradations monitoring and predictive maintenance$b[electronic resource] /$feditor, Kondo H. Adjallah 210 $aBradford $cEmerald Group Press$dc2007 215 $a1 online resource (108 p.) 225 0 $aJournal of Quality in Maintenance Engineering ;$v13, no. 2 300 $aDescription based upon print version of record. 311 $a1-84663-478-4 327 $aCover; CONTENTS; EDITORIAL ADVISORY BOARD; Guest editorial; Prediction of system reliability for single component repair; A structured approach for the assessment of system availability and reliability using Monte Carlo simulation; Evaluation of the uncertainty affecting reliability models; Basis pursuit-based intelligent diagnosis of bearing faults; Feature-based fault diagnosis system of induction motors using vibration signal; Real-time degradation monitoring and failure prediction of pulse energy conversion systems; Strain monitoring of railway bridges using optic fiber sensors 327 $aMaintenance alternative integration to prognosis process engineering 330 $aThis e-book gathers the extended and updated versions of 8 papers selected among 58 from the IMS 2004 international conference, which was held in Troyes, France, in July 2004. They introduce some original approaches and new results that thrust to a real-world predictive maintenance application. This e-book also aims at promoting the development of intelligent and efficient maintenance systems, to reach failure risks closer to zero. The selected papers offer methods enabling a satisfactory operational availability of machineries, through the monitoring, the diagnosis, the forecasting and the de 606 $aPlant maintenance$xManagement 606 $aTotal quality management 608 $aElectronic books. 615 0$aPlant maintenance$xManagement. 615 0$aTotal quality management. 676 $a658.202 701 $aAdjallah$b Kondo H$0975427 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910451300703321 996 $aAdvances in degradations monitoring and predictive maintenance$92221160 997 $aUNINA