000			02852nam a22003855i 4500
001			303903
003			MX-SnUAN
005			20160429155842.0
007			cr nn 008mamaa
008			150903s2011 gw | o |||| 0|eng d
020			_a9783642240522 _99783642240522
024	7		_a10.1007/9783642240522 _2doi
035			_avtls000357929
039		9	_a201509030540 _bVLOAD _c201405070223 _dVLOAD _y201402191510 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTJ212-225
100	1		_aSamy, Ihab. _eautor _9342604
245	1	0	_aFault Detection and Flight Data Measurement : _bDemonstrated on Unmanned Air Vehicles Using Neural Networks / _cby Ihab Samy, Da-Wei Gu.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_axx, 176 páginas 82 ilustraciones, 23 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aLecture Notes in Control and Information Sciences, _x0170-8643 ; _v419
500			_aSpringer eBooks
505	0		_aIntroduction -- Fault detection and isolation (FDI) -- Introduction to FADS systems -- Neural Networks -- SFDA-Single sensor faults -- SFDIA-Multiple sensor faults -- FADS system applied to a MAV -- Conclusions and Future Work.
520			_aThis book considers two popular topics: fault detection and isolation (FDI) and flight data estimation using flush air data sensing (FADS) systems. Literature surveys, comparison tests, simulations and wind tunnel tests are performed. In both cases, a UAV platform is considered for demonstration purposes. In the first part of the book, FDI is considered for sensor faults where a neural network approach is implemented. FDI is applied both in academia and industry resulting in many publications over the past 50 years or so. However few publications consider neural networks in comparison to traditional techniques such as observer based, parameter estimations and parity space approaches. The second part of this book focuses on how to estimate flight data (angle of attack, airspeed) using a matrix of pressure sensors and a neural network model. In conclusion this book can serve as an introduction to FDI and FADS systems, a literature survey, and a case study for UAV applications.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aGu, Da-Wei. _eautor _9314979
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783642240515
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-24052-2 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c303903 _d303903