000			02947nam a22004935i 4500
001			978-3-642-24052-2
003			DE-He213
005			20140220083814.0
007			cr nn 008mamaa
008			111104s2011 gw | s |||| 0|eng d
020			_a9783642240522 _9978-3-642-24052-2
024	7		_a10.1007/978-3-642-24052-2 _2doi
050		4	_aTJ212-225
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aSamy, Ihab. _eauthor.
245	1	0	_aFault Detection and Flight Data Measurement _h[electronic resource] : _bDemonstrated on Unmanned Air Vehicles Using Neural Networks / _cby Ihab Samy, Da-Wei Gu.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXX, 176p. 82 illus., 23 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		_aLecture Notes in Control and Information Sciences, _x0170-8643 ; _v419
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.
650		0	_aEngineering.
650		0	_aSystems theory.
650		0	_aAstronautics.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aComputational Intelligence.
650	2	4	_aAerospace Technology and Astronautics.
650	2	4	_aSystems Theory, Control.
700	1		_aGu, Da-Wei. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642240515
830		0	_aLecture Notes in Control and Information Sciences, _x0170-8643 ; _v419
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-24052-2
912			_aZDB-2-ENG
999			_c108446 _d108446