000 02423nam a2200325za04500
001 17724
008 050703s2011 gw eng d
020 _a9783642240522 99783642240522
082 _a629.8
_b223
100 _aSamy, Ihab.
_eauthor.
_934692
245 _aFault Detection and Flight Data Measurement
_h[electronic resource]:
_bDemonstrated on Unmanned Air Vehicles Using Neural Networks /
_cby Ihab Samy, Da-Wei Gu.
300 _aXX, 176p. 82 illus., 23 illus. in color.
_bonline resource.
490 _aLecture Notes in Control and Information Sciences
490 _x-0170-8643 ;
_v-419
505 _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 _aEngineering.
_996
650 _933580
_aASTRONAUTICS
650 _aEngineering.
_996
650 _aControl.
_924383
650 _933763
_aCOMPUTATIONAL INTELIGENCE
650 _933584
_aAEROSPACE TECHNOLOGY AND ASTRONAUTICS
650 _933972
_aSYSTEMS THEORY
650 _933972
_aSYSTEMS THEORY
700 _aGu, Da-Wei.
_934694
700 _eauthor.
_934695
710 _aSpringerLink (Online service)
_9111
856 _uhttp://springer.escuelaing.metaproxy.org/book/10.1007/978-3-642-24052-2
_yir a documento
_qURL
942 _2ddc
_cCF
999 _c14347
_d14347