000 03814nam a22005535i 4500
001 978-3-642-39348-8
003 DE-He213
005 20200421112046.0
007 cr nn 008mamaa
008 131005s2014 gw | s |||| 0|eng d
020 _a9783642393488
_9978-3-642-39348-8
024 7 _a10.1007/978-3-642-39348-8
_2doi
050 4 _aTA213-215
072 7 _aTGBN
_2bicssc
072 7 _aTEC046000
_2bisacsh
082 0 4 _a621.8
_223
245 1 0 _aAdvances in Condition Monitoring of Machinery in Non-Stationary Operations
_h[electronic resource] :
_bProceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013 /
_cedited by Giorgio Dalpiaz, Riccardo Rubini, Gianluca D'Elia, Marco Cocconcelli, Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXIII, 709 p. 440 illus., 307 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Mechanical Engineering,
_x2195-4356
505 0 _aRolling bearing diagnostics -- Gearbox diagnostics -- Signal processing for machine condition monitoring -- Experimental and numerical modeling of machine dynamics -- Mechanical systems diagnostics.
520 _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    .
650 0 _aEngineering.
650 0 _aEngineering design.
650 0 _aMachinery.
650 1 4 _aEngineering.
650 2 4 _aMachinery and Machine Elements.
650 2 4 _aEngineering Design.
700 1 _aDalpiaz, Giorgio.
_eeditor.
700 1 _aRubini, Riccardo.
_eeditor.
700 1 _aD'Elia, Gianluca.
_eeditor.
700 1 _aCocconcelli, Marco.
_eeditor.
700 1 _aChaari, Fakher.
_eeditor.
700 1 _aZimroz, Radoslaw.
_eeditor.
700 1 _aBartelmus, Walter.
_eeditor.
700 1 _aHaddar, Mohamed.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642393471
830 0 _aLecture Notes in Mechanical Engineering,
_x2195-4356
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-39348-8
912 _aZDB-2-ENG
942 _cEBK
999 _c56963
_d56963