000			07555cam a2200661 i 4500
001			on1027678986
003			OCoLC
005			20220712070119.0
006			m o d
007			cr |||||||||||
008			171213s2018 mau ob 001 0 eng d
040			_aSTF _beng _erda _epn _cSTF _dOCLCQ _dEBLCP _dN$T _dYDX _dBNG _dCEF _dOCLCQ _dK6U _dIEEEE _dOCLCO _dOCLCQ _dOCLCO
019			_a1039938711
020			_a9781630814977 _q(electronic bk.)
020			_a1630814970 _q(electronic bk.)
020			_z1608079724
020			_z9781608079728
035			_a(OCoLC)1027678986 _z(OCoLC)1039938711
050		4	_aTA168 _b.K56 2018eb
072		7	_aTEC _x009000 _2bisacsh
072		7	_aTEC _x035000 _2bisacsh
082	0	4	_a620.001/171 _223
049			_aMAIN
100	1		_aKing, Stephen P., _eauthor. _91187597
245	1	0	_aEquipment health monitoring in complex systems / _cStephen P. King, Andrew R. Mills, Visakan Kadirkamanathan, David A. Clifton.
264		1	_aBoston : _bArtech House, _c[2018]
300			_a1 online resource (ix, 208 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aArtech House computing library
588	0		_aPrint version record.
504			_aIncludes bibliographical references and index.
505	0	0	_gMachine generated contents note: _g1. _tIntroduction -- _g1.1. _tMaintenance Strategies -- _g1.2. _tOverview of Health Monitoring -- _g1.3. _tOrganization of Book Contents -- _tReferences -- _g2. _tSystems Engineering for EHM -- _g2.1. _tIntroduction -- _g2.2. _tIntroduction to Systems Engineering -- _g2.2.1. _tSystems Engineering Processes -- _g2.2.2. _tOverview of Systems Engineering for EHM Design -- _g2.2.3. _tSummary -- _g2.3. _tEHM Design Intent -- _g2.3.1. _tState the Problem: Failure Analysis and Management -- _g2.3.2. _tModel the System: Approaches for Failure Modeling -- _g2.3.3. _tInvestigate Alternatives: Failure Models -- _g2.3.4. _tAssess Performance: Case Study -- _g2.4. _tEHM Functional Architecture Design -- _g2.4.1. _tState the Problem: EHM Functional Architecture Design -- _g2.4.2. _tModel the System: Function Modeling and Assessment -- _g2.4.3. _tInvestigate Alternatives: Tools for Functional Architecture Design -- _g2.4.4. _tAssess Performance: Gas Turbine EHM Architecture Optimization -- _g2.5. _tEHM Algorithm Design -- _g2.5.1. _tState the Problem: Monitoring Algorithm Design Process -- _g2.5.2. _tModel the System: Detailed Fault Mode Modeling -- _g2.5.3. _tInvestigate Alternatives: Development Approaches -- _g2.5.4. _tAssess Performance: Algorithm Design Case Study -- _g2.6. _tConclusion -- _tReferences -- _g3. _tThe Need for Intelligent Diagnostics -- _g3.1. _tIntroduction -- _g3.2. _tThe Need for Intelligent Diagnostics -- _g3.3. _tOverview of Machine Learning Capability -- _g3.4. _tProposed Health Monitoring Framework -- _g3.4.1. _tFeature Extraction -- _g3.4.2. _tData Visualization -- _g3.4.3. _tModel Construction -- _g3.4.4. _tDefinition of Model Boundaries -- _g3.4.5. _tVerification of Model Performance -- _tReferences -- _g4. _tMachine Learning for Health Monitoring -- _g4.1. _tIntroduction -- _g4.2. _tFeature Extraction -- _g4.3. _tData Visualization -- _g4.3.1. _tPrincipal Component Analysis -- _g4.3.2. _tKohonen Network -- _g4.3.3. _tSammon's Mapping -- _g4.3.4. _tNeuroScale -- _g4.4. _tModel Construction -- _g4.5. _tDefinition of Model Boundaries -- _g4.6. _tVerification of Model Performance -- _g4.6.1. _tVerification of Regression Models -- _g4.6.2. _tVerification of Classification Models -- _tReferences -- _g5. _tCase Studies of Medical Monitoring Systems -- _g5.1. _tIntroduction -- _g5.2. _tKernel Density Estimates -- _g5.3. _tExtreme Value Statistics -- _g5.3.1. _tType-I EVT -- _g5.3.2. _tType-II EVT -- _g5.3.3. _tGaussian Processes -- _g5.4. _tAdvanced Methods -- _tReferences -- _g6. _tMonitoring Aircraft Engines -- _g6.1. _tIntroduction -- _g6.1.1. _tAircraft Engines -- _g6.1.2. _tModel-Based Monitoring Systems -- _g6.2. _tCase Study -- _g6.2.1. _tAircraft Engine Air System Event Detection -- _g6.2.2. _tData and the Detection Problem -- _g6.3. _tKalman Filter-Based Detection -- _g6.3.1. _tKalman Filter Estimation -- _g6.3.2. _tKalman Filter Parameter Design -- _g6.3.3. _tChange Detection and Threshold Selection -- _g6.4. _tMultiple Model-Based Detection -- _g6.4.1. _tHypothesis Testing and Change Detection -- _g6.4.2. _tMultiple Model Change Detection -- _g6.5. _tChange Detection with Additional Signals -- _g6.6. _tSummary -- _tReferences -- _g7. _tFuture Directions in Health Monitoring -- _g7.1. _tIntroduction -- _g7.2. _tEmerging Developments Within Sensing Technology -- _g7.2.1. _tLow-Cost and Ubiquitous Sensing -- _g7.2.2. _tUltra-Minaturization -- Nano and Quantum -- _g7.2.3. _tBio-Inspired -- _g7.2.4. _tSummary -- _g7.3. _tSensor Informatics for Medical Monitoring -- _g7.3.1. _tDeep Learning for Patient Monitoring -- _g7.4. _tBig Data Analytics and Health Monitoring -- _g7.5. _tGrowth in Use of Digital Storage -- _g7.5.1. _tExample Health Monitoring Application Utilizing Grid Capability -- _g7.5.2. _tCloud Alternatives -- _tReferences.
520	3		_aThis timely resource provides a practical introduction to equipment health monitoring (EHM) to ensure the cost effective operation and control of critical systems in defense, industrial, and healthcare applications. This book highlights how to frame health monitoring design applications within a system engineering process, to ensure an optimized EHM functional architecture and practical algorithm design.n nThis book clarifies the need for intelligent diagnostics and proposed health monitoring framework. Machine learning for health monitoring, including feature extraction, data visualization, model boundaries and performance is presented. Details about monitoring aircraft engines and model based monitoring systems are described in detail. Packed with two full chapters of case studies within industrial and healthcare settings, this book identifies key problems and provides insightful techniques for solving them. This resource provides a look into the future direction in health monitoring and emerging developments within sensing technology, big data analytics, and advanced computing capabilities. _cPublisher abstract.
590			_aeBooks on EBSCOhost _bEBSCO eBook Subscription Academic Collection - Worldwide
650		0	_aSystems engineering. _9117265
650		0	_aStructural health monitoring. _9345585
650		6	_aIngénierie des systèmes. _9964568
650		6	_aSurveillance de l'état des structures. _9900302
650		7	_asystems engineering. _2aat _9117265
650		7	_aTECHNOLOGY & ENGINEERING _xEngineering (General) _2bisacsh _9866500
650		7	_aTECHNOLOGY & ENGINEERING _xReference. _2bisacsh _9866501
650		7	_aStructural health monitoring. _2fast _0(OCoLC)fst01748414 _9345585
650		7	_aSystems engineering. _2fast _0(OCoLC)fst01141455 _9117265
655		4	_aElectronic books.
700	1		_aMills, Andrew R., _eauthor. _91187598
700	1		_aKadirkamanathan, Visakan, _d1962- _eauthor. _91187599
700	1		_aClifton, David A., _eauthor. _91187600
776	0	8	_iPrint version: _aKing, Stephen P. _tEquipment health monitoring in complex systems. _dBoston : Artech House, [2018] _z1608079724 _w(DLC) 2017285746 _w(OCoLC)1013764660
830		0	_aArtech House computing library.
856	4	0	_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1825914
938			_aProQuest Ebook Central _bEBLB _nEBL5430714
938			_aEBSCOhost _bEBSC _n1825914
938			_aIEEE _bIEEE _n9100204
938			_aYBP Library Services _bYANK _n15503375
994			_a92 _bINOPJ
999			_c2825356 _d2825356