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001			978-3-031-31719-4
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008			230520s2023 sz | s |||| 0|eng d
020			_a9783031317194 _9978-3-031-31719-4
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050		4	_aTK5105.8857
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245	1	0	_aAdvances in Technical Diagnostics II _h[electronic resource] : _bProceedings of the 7th International Congress on Technical Diagnostics, ICTD 2022, 14-16 September 2022, Radom, Poland / _cedited by Andrzej Puchalski, Bogusław Edward Łazarz, Fakher Chaari, Iwona Komorska, Radoslaw Zimroz.
250			_a1st ed. 2023.
264		1	_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023.
300			_aXIII, 229 p. 156 illus., 133 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		_aApplied Condition Monitoring, _x2363-6998 ; _v21
500			_aAcceso multiusuario
505	0		_aShip diesel engine fault diagnosis using data science and machine learning -- Laser spot thermography for defect detection in composite structure -- Monitoring the technical condition of the marine turbine engines by analysis of rundown resonance parameter -- Theoretical-experimental determination of CVT power losses due to rubber V-belt vibrations -- Dynamic model for simulation of phenomena occurring in a planetary gear operating in a power transmission system -- Acoustic emission monitoring for wire drawing process -- Cycloidal gearbox model for transient analysis implemented in Fortran with constant time step 2nd order integrator -- Experimental setup for nondestructive testing of composite structures using laser spot thermography -- Neural network-based road surface condition monitor concept -- Method of fault detection of drive systems using features of Park's vector hodograph.
520			_aThis book reports on recent theories and methods for diagnostics and condition monitoring of machines, materials and industrial processes, with a special emphasis on the application of artificial intelligence and intelligent control systems. Gathering original contributions to the 7th International Congress on Technical Diagnostics, ICTD2022, held on September 14-16, 2022, in Radom, Poland, this book offers extensive information on the latest trends in machine diagnostics and on IoT, smart sensors and machine learning technology in advanced condition monitoring. It addresses both scientists and professionals and is intended to foster communication and collaborations between the two groups.
541			_fUABC ; _cPerpetuidad
650		0	_aCooperating objects (Computer systems).
650		0	_aMachinery.
650		0	_aMultibody systems.
650		0	_aVibration.
650		0	_aMechanics, Applied.
650		0	_aMaterials _xFatigue.
650	1	4	_aCyber-Physical Systems.
650	2	4	_aMachinery and Machine Elements.
650	2	4	_aMultibody Systems and Mechanical Vibrations.
650	2	4	_aMaterials Fatigue.
700	1		_aPuchalski, Andrzej. _eeditor. _0(orcid)0000-0002-5202-3410 _1https://orcid.org/0000-0002-5202-3410 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aŁazarz, Bogusław Edward. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aChaari, Fakher. _eeditor. _0(orcid)0000-0003-3392-1108 _1https://orcid.org/0000-0003-3392-1108 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKomorska, Iwona. _eeditor. _0(orcid)0000-0002-6911-0297 _1https://orcid.org/0000-0002-6911-0297 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aZimroz, Radoslaw. _eeditor. _0(orcid)0000-0003-4781-9972 _1https://orcid.org/0000-0003-4781-9972 _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031317187
776	0	8	_iPrinted edition: _z9783031317200
776	0	8	_iPrinted edition: _z9783031317217
830		0	_aApplied Condition Monitoring, _x2363-6998 ; _v21
856	4	0	_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-31719-4
912			_aZDB-2-ENG
912			_aZDB-2-SXE
942			_cLIBRO_ELEC
999			_c260624 _d260623