000 | 03700nam a22005895i 4500 | ||
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001 | 978-3-319-96181-1 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 180719s2019 sz | s |||| 0|eng d | ||
020 |
_a9783319961811 _9978-3-319-96181-1 |
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024 | 7 |
_a10.1007/978-3-319-96181-1 _2doi |
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050 | 4 | _aTA352-356 | |
072 | 7 |
_aTGMD4 _2bicssc |
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072 | 7 |
_aTEC009070 _2bisacsh |
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_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. |
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300 |
_aVIII, 133 p. 84 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aApplied Condition Monitoring, _x2363-6998 ; _v12 |
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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 |
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650 | 0 |
_aVibration. _96645 |
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650 | 0 |
_aMechanics, Applied. _93253 |
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650 | 0 |
_aMachinery. _931894 |
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650 | 0 |
_aSecurity systems. _931879 |
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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 |
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700 | 1 |
_aChaari, Fakher. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _937101 |
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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 |
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