000 05174nam a22005535i 4500
001 978-1-4471-4799-2
003 DE-He213
005 20200421112223.0
007 cr nn 008mamaa
008 121227s2013 xxk| s |||| 0|eng d
020 _a9781447147992
_9978-1-4471-4799-2
024 7 _a10.1007/978-1-4471-4799-2
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aDing, Steven X.
_eauthor.
245 1 0 _aModel-Based Fault Diagnosis Techniques
_h[electronic resource] :
_bDesign Schemes, Algorithms and Tools /
_cby Steven X. Ding.
250 _a2nd ed. 2013.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aXX, 504 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Industrial Control,
_x1430-9491
505 0 _aBasic Ideas, Major Issues, and Tools in the Observer-Based FDI Framework -- Modelling of Technical Systems -- Structural Fault Detectability, Isolability and Identifiability -- Basic Residual Generation Methods -- Perfect Unknown Input Decoupling -- Residual Generation with Enhanced Robustness against Unknown Inputs -- Residual Generation with Enhanced Robustness against Model Uncertainties -- Norm-Based Residual Evaluation and Threshold Computation -- Statistical-Methods-Based Residual Evaluation and Threshold Setting -- Integration of Norm-Based and Statistical Methods -- Integrated Design of Fault Detection Systems -- Fault Isolation Schemes.
520 _aGuaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools. This second edition of Model-Based Fault Diagnosis Techniques contains: �         new material on fault isolation and identification, and fault detection in feedback control loops; �         extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises; addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and �         enhanced discussion of residual evaluation in stochastic processes. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering. �         enhanced discussion of residual evaluation in stochastic processes. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
650 0 _aEngineering.
650 0 _aChemical engineering.
650 0 _aControl engineering.
650 0 _aQuality control.
650 0 _aReliability.
650 0 _aIndustrial safety.
650 0 _aPower electronics.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aIndustrial Chemistry/Chemical Engineering.
650 2 4 _aPower Electronics, Electrical Machines and Networks.
650 2 4 _aQuality Control, Reliability, Safety and Risk.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447147985
830 0 _aAdvances in Industrial Control,
_x1430-9491
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-4799-2
912 _aZDB-2-ENG
942 _cEBK
999 _c57496
_d57496