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005			20230102113938.0
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008			200318s2020 gw | s |||| 0|eng d
020			_a9783658293925
024	7		_a10.1007/978-3-658-29392-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTL272.52 _b2020 EB
100	1		_aLeschke, André _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9673406
245	1	0	_aAlgorithm Concept for Crash Detection in Passenger Cars _cby André Leschke
250			_aFirst edition 2020.
264		1	_aWiesbaden _bSpringer Fachmedien Wiesbaden _c2020
300			_a1 recurso en línea (XXXIV, 271 páginas) _b157 ilustraciones, 56 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aState of the art: Vehicle Structure, Restraint Systems, Electronic Systems and Algorithm for Crash Detection -- Model Proposal for the Description of Threshold-based Algorithms -- Simulation Model for Component-specific Local Loading -- New Algorithm Concept for Crash Detection based on Local Component-specific Loads and for the Classification of Load Cases.
520	3		_aState-of-the-art airbag algorithms make a decision to fire restraint systems in a crash by evaluating the deceleration of the entire vehicle during the single events of the accident. In order to meet the ever increasing requirements of consumer test organizations and global legislators, a detailed knowledge of the nature and direction of the crash would be of great benefit. The algorithms used in current vehicles can only do this to a limited extent. André Leschke presents a completely different algorithm concept to solve these problems. In addition to vehicle deceleration, the chronological sequence of an accident and the associated local and temporal destruction of the vehicle are possible indicators for an accident's severity. Contents State of the art: Vehicle Structure, Restraint Systems, Electronic Systems and Algorithm for Crash Detection Model Proposal for the Description of Threshold-based Algorithms Simulation Model for Component-specific Local Loading New Algorithm Concept for Crash Detection based on Local Component-specific Loads and for the Classification of Load Cases Target Groups Scientists and students in the field of automotive and mechanical engineering Engineers working in industrial research and development of vehicle safety About the Author Dr. André Leschke has earned his doctoral degree from Tor-Vergata University of Rome, Italy. Currently, he is working as head of a team of vehicle safety developers in the German automotive industry.
988			_aSpringer_Engineering_31032020
650		7	_2embne _aAutomóviles _xDispositivos de seguridad _9327416
650		7	_2embne _9172977 _aAutomóviles _xResistencia a las colisiones
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783658293918
776	0	8	_iPrinted edition: _z9783658293932
776	0	8	_iPrinted edition: _z9783658293949
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-29392-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _ek _zSI