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010   $a9783642393488
010   $a3642393489
024 7 $a10.1007/978-3-642-39348-8
035   $a(OCoLC)865655381
035   $a(MiFhGG)GVRL6YEZ
035   $a(CKB)3710000000025670
035   $a(MiAaPQ)EBC1466289
035   $a(MiFhGG)9783642393488
035   $a(DE-He213)978-3-642-39348-8
035   $a(EXLCZ)993710000000025670
100   $a20131005d2014      u|         0
101 0 $aeng
135   $aurun|---uuuua
181   $ctxt
182   $cc
183   $acr
200 10$aAdvances in Condition Monitoring of Machinery in Non-Stationary Operations $eProceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013 /$fedited by Giorgio Dalpiaz, Riccardo Rubini, Gianluca D'Elia, Marco Cocconcelli, Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar
205   $a1st ed. 2014.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014.
215   $a1 online resource (xiii, 709 pages) $cillustrations (some color)
225 1 $aLecture Notes in Mechanical Engineering,$x2195-4364
300   $a"ISSN: 2195-4356."
300   $a"ISSN: 2195-4364 (electronic)."
311 08$a9783642393471 
311 08$a3642393470 
320   $aIncludes bibliographical references.
327   $aRolling bearing diagnostics -- Gearbox diagnostics -- Signal processing for machine condition monitoring -- Experimental and numerical modeling of machine dynamics -- Mechanical systems diagnostics.
330   $aThis book presents the processings of the third edition of the Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO13) which was held in Ferrara, Italy. This yearly event merges an international community of researchers who met ? in 2011 in Wroclaw (Poland) and in 2012 in Hammamet (Tunisia) ? to discuss issues of diagnostics of rotating machines operating in complex motion and/or load conditions. The growing interest of the industrial world on the topics covered by the CMMNO13 involves the fields of packaging, automotive, agricultural, mining, processing and wind machines in addition to that of the systems for data acquisition.The participation of speakers and visitors from industry makes the event an opportunity for immediate assessment of the potential applications of advanced methodologies for the signal analysis. Signals acquired from machines often contain contributions from several different components as well as noise. Therefore, the major challenge of condition monitoring is to point out the signal content that is related to the state of the monitored component particularly in non-stationary conditions.   The book is divided into the following sections, namely:   Part 1: Keynote Speeches Part 2: Rolling bearing diagnostics Part 3: Gearbox diagnostics Part 4: Signal processing for machine condition monitoring Part 5: Experimental and numerical modeling of machine dynamics Part 6:Mechanical systems diagnostics    .
410  0$aLecture Notes in Mechanical Engineering,$x2195-4364
606   $aMachinery
606   $aEngineering design
606   $aMachinery and Machine Elements
606   $aEngineering Design
615  0$aMachinery.
615  0$aEngineering design.
615 14$aMachinery and Machine Elements.
615 24$aEngineering Design.
676   $a620
676   $a621.8/16
702   $aDalpiaz$b Giorgio
801  0$bMiFhGG
801  1$bMiFhGG
906   $aBOOK
912   $a9910299709503321
996   $aAdvances in Condition Monitoring of Machinery in Non-Stationary Operations$91540594
997   $aUNINA