LEADER 04182nam 22007095 450 001 9910299893103321 005 20251230064719.0 010 $a3-319-61927-6 024 7 $a10.1007/978-3-319-61927-9 035 $a(CKB)4100000000586783 035 $a(DE-He213)978-3-319-61927-9 035 $a(MiAaPQ)EBC5051168 035 $a(PPN)204535387 035 $a(EXLCZ)994100000000586783 100 $a20170921d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Condition Monitoring of Machinery in Non-Stationary Operations $eProceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO?2016, 12?16 September 2016, Gliwice, Poland /$fedited by Anna Timofiejczuk, Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (X, 373 p. 206 illus., 159 illus. in color.) 225 1 $aApplied Condition Monitoring,$x2363-6998 ;$v9 311 08$a3-319-61926-8 320 $aIncludes bibliographical references at the end of each chapters and index. 330 $aThis book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery. It covers a broad range of advanced techniques in condition monitoring of machinery, such as mathematical models, signal processing and pattern recognition methods and artificial intelligence methods, and their practical applications to the analysis of nonstationarities. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO?2016, held on September 12 ? 16, 2016, in Gliwice, Poland. The contributions cover advances in both theory and practice in a variety of subfields, such as: smart materials and structures; fluid-structure interaction; structural acoustics as well as computational vibro-acoustics and numerical methods. Further topics include: engines control, noise identification, robust design, flow-induced vibration and many others. By presenting state-of-the-art in predictive maintenance solutions and discussing important industrial issues the book offers a valuable resource to both academics and professionals and is expected to facilitate communication and collaboration between the two groups. 410 0$aApplied Condition Monitoring,$x2363-6998 ;$v9 606 $aMultibody systems 606 $aVibration 606 $aMechanics, Applied 606 $aSignal processing 606 $aMathematical models 606 $aManufactures 606 $aMultibody Systems and Mechanical Vibrations 606 $aSignal, Speech and Image Processing 606 $aMathematical Modeling and Industrial Mathematics 606 $aMachines, Tools, Processes 615 0$aMultibody systems. 615 0$aVibration. 615 0$aMechanics, Applied. 615 0$aSignal processing. 615 0$aMathematical models. 615 0$aManufactures. 615 14$aMultibody Systems and Mechanical Vibrations. 615 24$aSignal, Speech and Image Processing. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aMachines, Tools, Processes. 676 $a621.816 702 $aTimofiejczuk$b Anna$4edt$4http://id.loc.gov/vocabulary/relators/edt 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$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299893103321 996 $aAdvances in Condition Monitoring of Machinery in Non-Stationary Operations$91540594 997 $aUNINA