000			03259nam a22005417a 4500
001			sulb-eb0022779
003			BD-SySUS
005			20160413122317.0
007			cr nn 008mamaa
008			130523s2013 xxu| s |||| 0|eng d
020			_a9781461473695 _9978-1-4614-7369-5
024	7		_a10.1007/978-1-4614-7369-5 _2doi
050		4	_aQA76.9.E94
072		7	_aUYD _2bicssc
072		7	_aCOM074000 _2bisacsh
082	0	4	_a004.24 _223
100	1		_aWang, Danwei. _eauthor.
245	1	0	_aModel-based Health Monitoring of Hybrid Systems _h[electronic resource] / _cby Danwei Wang, Ming Yu, Chang Boon Low, Shai Arogeti.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013.
300			_aXII, 297 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aHealth Monitoring of Engineering Systems -- Hybrid Systems and Hybrid Bond Graph Models -- Quantitative Hybrid Bond Graph-based Fault Detection and Isolation -- Fault Identification Techniques -- Mode Tracking Techniques -- Application of Real Time FDI and Fault Estimation to a Vehicle Steering System -- Multiple Failure Prognosis for Hybrid Systems.
520			_aThis book systematically presents a comprehensive framework and effective techniques for in-depth analysis, clear design procedure, and efficient implementation of diagnosis and prognosis algorithms for hybrid systems. It offers an overview of the fundamentals of diagnosis\prognosis and hybrid bond graph modeling. This book also describes hybrid bond graph-based quantitative fault detection, isolation and estimation. Moreover, it also presents strategies to track the system mode and predict the remaining useful life under multiple fault condition. A real world complex hybrid system—a vehicle steering control system—is studied using the developed fault diagnosis methods to show practical significance. Readers of this book will benefit from easy-to-understand fundamentals of bond graph models, concepts of health monitoring, fault diagnosis and failure prognosis, as well as hybrid systems.  The reader will gain knowledge of fault detection and isolation in complex systems including those with hybrid nature, and will learn state-of-the-art developments in theory and technologies of fault diagnosis and failure prognosis for complex systems.
650		0	_aComputer science.
650		0	_aComputer system failures.
650		0	_aComplexity, Computational.
650		0	_aControl engineering.
650		0	_aRobotics.
650		0	_aAutomation.
650	1	4	_aComputer Science.
650	2	4	_aSystem Performance and Evaluation.
650	2	4	_aControl.
650	2	4	_aComplexity.
650	2	4	_aRobotics and Automation.
700	1		_aYu, Ming. _eauthor.
700	1		_aLow, Chang Boon. _eauthor.
700	1		_aArogeti, Shai. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461473688
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-7369-5
912			_aZDB-2-SCS
942			_2Dewey Decimal Classification _ceBooks
999			_c44871 _d44871