04502nam 22007335 450 991030038300332120200703055831.03-319-03047-710.1007/978-3-319-03047-0(CKB)3710000000078609(DE-He213)978-3-319-03047-0(SSID)ssj0001067428(PQKBManifestationID)11663345(PQKBTitleCode)TC0001067428(PQKBWorkID)11091512(PQKB)10297988(MiAaPQ)EBC3093437(PPN)17610738X(EXLCZ)99371000000007860920131115d2014 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierFault Detection and Diagnosis in Nonlinear Systems A Differential and Algebraic Viewpoint /by Rafael Martinez-Guerra, Juan Luis Mata-Machuca1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (XVII, 128 p. 31 illus., 11 illus. in color.) Understanding Complex Systems,1860-0832Bibliographic Level Mode of Issuance: Monograph3-319-03046-9 From the Contents: The Fault Detection Problem in Nonlinear Systems using Residual Generators -- Fault Detection in CSTR Using Nonlinear Observers -- Diagnosis of Nonlinear Systems Using the Concept of Differential Transcendence Degree -- On Nonlinear System Diagnosis Via High-Gain Observers: a Case Study.The high reliability required in industrial processes has created the necessity of detecting abnormal conditions, called faults, while processes are operating. The term fault generically refers to any type of process degradation, or degradation in equipment performance because of changes in the process's physical characteristics, process inputs or environmental conditions. This book is about the fundamentals of fault detection and diagnosis in a variety of nonlinear systems which are represented by ordinary differential equations. The fault detection problem is approached from a differential algebraic viewpoint, using residual generators based upon high-gain nonlinear auxiliary systems (‘observers’). A prominent role is played by the type of mathematical tools that will be used, requiring knowledge of differential algebra and differential equations. Specific theorems tailored to the needs of the problem-solving procedures are developed and proved. Applications to real-world problems, both with constant and time-varying faults, are made throughout the book and include electromechanical positioning systems, the Continuous Stirred Tank Reactor (CSTR), bioreactor models and belt drive systems, to name but a few.Understanding Complex Systems,1860-0832VibrationDynamical systemsDynamicsStatistical physicsIndustrial engineeringProduction engineeringMathematical physicsVibration, Dynamical Systems, Controlhttps://scigraph.springernature.com/ontologies/product-market-codes/T15036Applications of Nonlinear Dynamics and Chaos Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/P33020Industrial and Production Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T22008Mathematical Applications in the Physical Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13120Vibration.Dynamical systems.Dynamics.Statistical physics.Industrial engineering.Production engineering.Mathematical physics.Vibration, Dynamical Systems, Control.Applications of Nonlinear Dynamics and Chaos Theory.Industrial and Production Engineering.Mathematical Applications in the Physical Sciences.620Martinez-Guerra Rafaelauthttp://id.loc.gov/vocabulary/relators/aut791790Mata-Machuca Juan Luisauthttp://id.loc.gov/vocabulary/relators/autBOOK9910300383003321Fault Detection and Diagnosis in Nonlinear Systems2508272UNINA