000			05571cam a2200433Mi 4500
001			96069
003			ES-MaUEC
005			20230102112736.0
006			m o d
007			cr |n|||||||||
008			170526s2017 sz a ob 001 0 eng d
020			_a3319559443 _q(electronic bk.)
020			_a9783319559445 _q(electronic bk.)
020			_z3319559435
020			_z9783319559438
040			_aYDX _cYDX _dN$T _dEBLCP _dGW5XE _dN$T _dUAB _dESU _dAZU _dUPM _dOCLCF _dIOG _dCOO _dMERER _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aTA660.P55 _bM634 2017 EB
245	0	0	_aModeling and monitoring of pipelines and networks : _badvanced tools for automatic monitoring and supervision of pipelines _cCristina Verde, Lizeth Torres, editors.
264		1	_aCham _bSpringer _c2017.
300			_a1 recurso en línea _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
490	0		_aApplied condition monitoring _vvolume 7
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
505	0		_aPreface; Contents; 1 Introduction; 1.1 Introduction; 1.2 Background of Fault Detection and Pipelines' Diagnosis; 1.3 Monograph Description; References; 2 An Overview of Transient Fault Detection Techniques; 2.1 Introduction; 2.1.1 Flow Characteristics; 2.1.2 Governing Equations; 2.1.3 Detection Principle; 2.1.4 Major Considerations and Categorizations; 2.2 Current Transient Fault Detection Techniques; 2.2.1 Transient Reflection Method (TRM) ; 2.2.2 Transient Damping Method (TDM) ; 2.2.3 System Response Method (SRM); 2.2.4 Inverse Transient Method (ITM) ; 2.3 Critical Remarks.
505	8		_a2.3.1 Evaluation of Techniques2.3.2 Obstacles in Application; 2.4 Promising Research Directions ; 2.5 Conclusions; References; 3 Numerical Issues and Approximated Models for the Diagnosis of Transmission Pipelines; 3.1 Introduction; 3.1.1 Matrices' Notations; 3.2 Base Model of the Flow Process; 3.3 Assessment of the Model's Singularity; 3.4 Aggregated Model; 3.5 Selection of the Discretization Grid; 3.6 Analytic Inversion of the Recombination Matrix; 3.6.1 Tridiagonal Matrix Inversion Method; 3.6.2 Diagonal Approximation Model; 3.7 Analysis of the Models; 3.8 Conclusions; References.
505	8		_a4 One-Dimensional Modeling of Pipeline Transients4.1 Introduction; 4.2 Water Hammer Equations ; 4.3 Friction Modeling; 4.4 Finite-Difference Discretization; 4.5 Fault Models; 4.5.1 Leak Modeling; 4.5.2 Obstruction Modeling; 4.6 Boundary Conditions; 4.7 Application Examples; 4.7.1 Example 1: Modeling with Two Pressure Boundary Conditions; 4.7.2 Example 2: Modeling with Flow-Pressure Boundary Conditions; 4.7.3 Example 3: Modeling with Flow-Pressure Boundary Conditions and Pump-Restriction Models; 4.8 Conclusion; References; 5 Observer Tools for Pipeline Monitoring; 5.1 Introduction.
505	8		_a5.2 Principle for Observer-Based Pipeline Monitoring5.2.1 Model-Based Approach; 5.2.2 Model Discretization; 5.2.3 Observer Formulation; 5.3 Examples of Observer Tools for Pipeline Monitoring; 5.3.1 Linear Approaches; 5.3.2 Nonlinear Approaches; 5.4 Conclusions; References; 6 Auxiliary Signal Design and Liénard-type Models for Identifying Pipeline Parameters; 6.1 Introduction; 6.2 Recalls on Observability; 6.3 Input Optimization Algorithm; 6.4 Recalls on Liénard Equation; 6.5 Liénard-type Models for a Pipelines; 6.5.1 Hydraulic Equations; 6.5.2 Liénard Representation.
505	8		_a6.5.3 Extension of the Input Optimization Algorithm to Liénard-type Models for Pipelines6.6 Tests: Parameter Identification in a Pipeline; 6.6.1 Simulation Test: Estimation of the Friction Coefficient and the Wave Speed; 6.6.2 Experimental Test: Estimation of the Friction Coefficient and The Equivalent Length; 6.7 Conclusions; References; 7 Recursive Scheme for Sequential Leaks' Identification; 7.1 Introduction; 7.2 Fluid Model; 7.2.1 Friction Sensitivity in a Branched Pipeline; 7.3 Input -- Output Equivalent Models with Variant Friction; 7.4 Recursive Algorithm for Sequential Leaks' Location.
520	3		_aThis book focuses on the analysis and design of advanced techniques for on-line automatic computational monitoring of pipelines and pipe networks. It discusses how to improve the systems' security considering mathematical models of the flow, historical flow rate and pressure data, with the main goal of reducing the number of sensors installed along a pipeline. The techniques presented in the book have been implemented in digital systems to enhance the abilities of the pipeline network's operators in recognizing anomalies. A real leak scenario in a Mexican water pipeline is used to illustrate the benefits of these techniques in locating the position of a leak. Intended for an interdisciplinary audience, the book addresses researchers and professionals in the areas of mechanical, civil and control engineering. It covers topics on fluid mechanics, instrumentation, automatic control, signal processing, computing, construction and diagnostic technologies.
650		7	_aTuberías _2embne _0(OCoLC)fst01064643 _0 _9153165
700	1		_aTorres, Lizeth.
700	1		_aVerde, C. _q(Cristina)
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-55944-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017D
998			_b02/2018 _dz _e- _zSI
999			_c96069 _d96069 _x1