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005 20220801214227.0
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020 _a9783319961811
_9978-3-319-96181-1
024 7 _a10.1007/978-3-319-96181-1
_2doi
050 4 _aTA352-356
072 7 _aTGMD4
_2bicssc
072 7 _aTEC009070
_2bisacsh
072 7 _aTGMD
_2thema
082 0 4 _a620.3
_223
245 1 0 _aRotating Machinery and Signal Processing
_h[electronic resource] :
_bProceedings of the First Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, SIGPROMD’2017, April 09-11, 2017, Setif, Algeria /
_cedited by Ahmed Felkaoui, Fakher Chaari, Mohamed Haddar.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aVIII, 133 p. 84 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aApplied Condition Monitoring,
_x2363-6998 ;
_v12
505 0 _aFrom the content: Feature Selection Scheme Based on Pareto Method for Gearbox Fault Diagnosis -- A Intelligent Gear Fault Diagnosis in Normal and Non-Stationary Conditions Based on Instantaneous Angular Speed, Differential Evolution and Multi-class Support Vector Machine -- Effect of Input Data on The Neural Networks Performance Applied in Bearing Fault Diagnosis.
520 _aThis book provides readers with a timely snapshot of the potential offered by and challenges posed by signal processing methods in the field of machine diagnostics and condition monitoring. It gathers contributions to the first Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, held in Setif, Algeria, on April 9-10, 2017, and organized by the Applied Precision Mechanics Laboratory (LMPA) at the Institute of Precision Mechanics, University of Setif, Algeria and the Laboratory of Mechanics, Modeling and Manufacturing (LA2MP) at the National School of Engineers of Sfax. The respective chapters highlight research conducted by the two laboratories on the following main topics: noise and vibration in machines; condition monitoring in non-stationary operations; vibro-acoustic diagnosis of machinery; signal processing and pattern recognition methods; monitoring and diagnostic systems; and dynamic modeling and fault detection.
650 0 _aMultibody systems.
_96018
650 0 _aVibration.
_96645
650 0 _aMechanics, Applied.
_93253
650 0 _aMachinery.
_931894
650 0 _aSecurity systems.
_931879
650 1 4 _aMultibody Systems and Mechanical Vibrations.
_932157
650 2 4 _aMachinery and Machine Elements.
_931895
650 2 4 _aSecurity Science and Technology.
_931884
700 1 _aFelkaoui, Ahmed.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_937100
700 1 _aChaari, Fakher.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_937101
700 1 _aHaddar, Mohamed.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_937102
710 2 _aSpringerLink (Online service)
_937103
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319961804
776 0 8 _iPrinted edition:
_z9783319961828
776 0 8 _iPrinted edition:
_z9783030071493
830 0 _aApplied Condition Monitoring,
_x2363-6998 ;
_v12
_937104
856 4 0 _uhttps://doi.org/10.1007/978-3-319-96181-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76104
_d76104