LEADER 04728nam 22008535 450 001 9910254213603321 005 20200706175634.0 010 $a3-319-20463-7 024 7 $a10.1007/978-3-319-20463-5 035 $a(CKB)3710000000449517 035 $a(EBL)3567758 035 $a(SSID)ssj0001534587 035 $a(PQKBManifestationID)11892100 035 $a(PQKBTitleCode)TC0001534587 035 $a(PQKBWorkID)11496197 035 $a(PQKB)11496101 035 $a(DE-He213)978-3-319-20463-5 035 $a(MiAaPQ)EBC3567758 035 $a(PPN)187688028 035 $a(EXLCZ)993710000000449517 100 $a20150716d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Condition Monitoring of Machinery in Non-Stationary Operations $eProceedings of the Fourth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2014, Lyon, France December 15-17 /$fedited by Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (483 p.) 225 1 $aApplied Condition Monitoring,$x2363-698X ;$v4 300 $aDescription based upon print version of record. 311 $a3-319-20462-9 320 $aIncludes bibliographical references. 327 $aPart 1. Signal Processing -- Part 2. Data Mining -- Part 3. Condition Monitoring Techniques. 330 $aThe book provides readers with a snapshot of recent research and technological trends in the field of condition monitoring of machinery working under a broad range of operating conditions. Each chapter, accepted after a rigorous peer-review process, reports on an original piece of work presented and discussed at the 4th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO 2014, held on December 15-16, 2014, in Lyon, France. The contributions have been grouped into three different sections according to the main subfield (signal processing, data mining, or condition monitoring techniques) they are related to. The book includes both theoretical developments as well as a number of industrial case studies, in different areas including, but not limited to: noise and vibration; vibro-acoustic diagnosis; signal processing techniques; diagnostic data analysis; instantaneous speed identification; monitoring and diagnostic systems; and dynamic and fault modeling. This book not only provides a valuable resource for both academics and professionals in the field of condition monitoring, it also aims at facilitating communication and collaboration between the two groups. 410 0$aApplied Condition Monitoring,$x2363-698X ;$v4 606 $aMachinery 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aQuality control 606 $aReliability 606 $aIndustrial safety 606 $aVibration 606 $aDynamical systems 606 $aDynamics 606 $aMachinery and Machine Elements$3https://scigraph.springernature.com/ontologies/product-market-codes/T17039 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aQuality Control, Reliability, Safety and Risk$3https://scigraph.springernature.com/ontologies/product-market-codes/T22032 606 $aVibration, Dynamical Systems, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/T15036 615 0$aMachinery. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aQuality control. 615 0$aReliability. 615 0$aIndustrial safety. 615 0$aVibration. 615 0$aDynamical systems. 615 0$aDynamics. 615 14$aMachinery and Machine Elements. 615 24$aSignal, Image and Speech Processing. 615 24$aQuality Control, Reliability, Safety and Risk. 615 24$aVibration, Dynamical Systems, Control. 676 $a620 702 $aChaari$b Fakher$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZimroz$b Radoslaw$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBartelmus$b Walter$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHaddar$b Mohamed$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910254213603321 996 $aAdvances in Condition Monitoring of Machinery in Non-Stationary Operations$91540594 997 $aUNINA