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Diagnosis and fault-tolerant control . Volume 2 : from fault diagnosis to fault-tolerant control / / Vicenc Puig and Silvio Simani
| Diagnosis and fault-tolerant control . Volume 2 : from fault diagnosis to fault-tolerant control / / Vicenc Puig and Silvio Simani |
| Autore | Puig Vicenc |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2021] |
| Descrizione fisica | 1 online resource (288 pages) |
| Disciplina | 620.00452 |
| Soggetto topico |
Fault tolerance (Engineering)
Fault location (Engineering) - Automation |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-88233-8
1-119-88235-4 1-119-88234-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- 1. Nonlinear Methods for Fault Diagnosis -- 1.1. Introduction -- 1.2. Fault diagnosis tasks -- 1.2.1. Residual generation task -- 1.2.2. Residual evaluation task -- 1.3. Model-based fault diagnosis -- 1.3.1. Parity space relations -- 1.3.2. Observer-based approaches -- 1.3.3. Nonlinear filtering methods -- 1.3.4. Nonlinear geometric approach strategy -- 1.4. Data-driven fault diagnosis -- 1.4.1. Online identification methods -- 1.4.2. Machine learning approaches to fault diagnosis -- 1.5. Model-based and data-driven integrated fault diagnosis -- 1.6. Robust fault diagnosis problem -- 1.7. Summary -- 1.8. References -- 2. Linear Parameter Varying Methods -- 2.1. Introduction -- 2.2. Preliminaries: a classical approach -- 2.3. Problem statement -- 2.4. Robust active fault-tolerant control design -- 2.4.1. Robust observer-based FTC design -- 2.4.2. Stability analysis -- 2.5. Application: an anaerobic bioreactor -- 2.6. Conclusion -- 2.7. References -- 3. Fuzzy and Neural Network Approaches -- 3.1. Introduction -- 3.2. Fuzzy model design -- 3.2.1. Takagi-Sugeno systems -- 3.2.2. Generation of TS models via nonlinear embedding -- 3.3. Neural model design -- 3.3.1. Recurrent neural network -- 3.3.2. Identification of the neural model uncertainty -- 3.4. Fault estimation and diagnosis -- 3.4.1. Actuator fault estimation using neural networks -- 3.4.2. Sensor and actuator fault estimation using fuzzy logic -- 3.5. Fault-tolerant control -- 3.5.1. An overview of the fault-tolerant scheme -- 3.5.2. Robust fault estimation and control -- 3.5.3. Derivation of a robust invariant set -- 3.5.4. Efficient predictive FTC -- 3.6. Illustrative examples -- 3.6.1. Sensor and actuator fault estimation example -- 3.6.2. Fault-tolerant control example -- 3.7. Conclusion -- 3.8. Acknowledgment.
3.9. References -- 4. Model Predictive Control Methods -- 4.1. Introduction -- 4.2. Idea of MPC -- 4.3. Robustness of MPC -- 4.4. Neural-network-based robust MPC -- 4.4.1. Neural network models -- 4.4.2. Nonlinear MPC -- 4.4.3. Approximate MPC -- 4.4.4. Robust nonlinear MPC -- 4.4.5. Robust approximate MPC -- 4.5. Robust control of a pneumatic servo -- 4.5.1. Robust nonlinear neural-network-based MPC -- 4.6. Conclusion -- 4.7. References -- 5. Nonlinear Modeling for Fault-tolerant Control -- 5.1. Introduction -- 5.1.1. Joint fault diagnosis and control -- 5.1.2. Nonlinear adaptive fault estimators -- 5.1.3. Fuzzy fault-tolerant control -- 5.1.4. Recursive adaptive control -- 5.1.5. Sustainable control -- 5.2. Fault-tolerant control strategies -- 5.2.1. Fault tolerance and compensation -- 5.3. Fault diagnosis and tolerant control -- 5.3.1. Fault-tolerant control design -- 5.4. Summary -- 5.5. References -- 6. Virtual Sensors and Actuators -- 6.1. Introduction -- 6.2. Problem statement -- 6.3. Virtual sensors and virtual actuators -- 6.4. LMI-based design -- 6.5. Additional considerations -- 6.6. Application example -- 6.6.1. Virtual actuator -- 6.6.2. Virtual sensors -- 6.7. Conclusion -- 6.8. References -- 7. Conclusions -- 7.1. Introduction -- 7.2. Closing remarks -- 7.3. References -- 8. Open Research Issues -- 8.1. Further works and open problems -- 8.1.1. Sustainable control design objectives -- 8.1.2. Sustainable control concepts and approaches -- 8.1.3. Sustainable control approaches and working methods -- 8.1.4. Sustainable control design ambition -- 8.1.5. Sustainable control innovation potentials -- 8.1.6. Sustainable control expected impacts -- 8.2. Summary -- 8.3. References -- List of Authors -- Index -- Summary of Volume 1 -- EULA. |
| Record Nr. | UNINA-9910555067403321 |
Puig Vicenc
|
||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Diagnosis and fault-tolerant control . Volume 2 : from fault diagnosis to fault-tolerant control / / Vicenc Puig and Silvio Simani
| Diagnosis and fault-tolerant control . Volume 2 : from fault diagnosis to fault-tolerant control / / Vicenc Puig and Silvio Simani |
| Autore | Puig Vicenc |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2021] |
| Descrizione fisica | 1 online resource (288 pages) |
| Disciplina | 620.00452 |
| Soggetto topico |
Fault tolerance (Engineering)
Fault location (Engineering) - Automation |
| ISBN |
1-119-88233-8
1-119-88235-4 1-119-88234-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- 1. Nonlinear Methods for Fault Diagnosis -- 1.1. Introduction -- 1.2. Fault diagnosis tasks -- 1.2.1. Residual generation task -- 1.2.2. Residual evaluation task -- 1.3. Model-based fault diagnosis -- 1.3.1. Parity space relations -- 1.3.2. Observer-based approaches -- 1.3.3. Nonlinear filtering methods -- 1.3.4. Nonlinear geometric approach strategy -- 1.4. Data-driven fault diagnosis -- 1.4.1. Online identification methods -- 1.4.2. Machine learning approaches to fault diagnosis -- 1.5. Model-based and data-driven integrated fault diagnosis -- 1.6. Robust fault diagnosis problem -- 1.7. Summary -- 1.8. References -- 2. Linear Parameter Varying Methods -- 2.1. Introduction -- 2.2. Preliminaries: a classical approach -- 2.3. Problem statement -- 2.4. Robust active fault-tolerant control design -- 2.4.1. Robust observer-based FTC design -- 2.4.2. Stability analysis -- 2.5. Application: an anaerobic bioreactor -- 2.6. Conclusion -- 2.7. References -- 3. Fuzzy and Neural Network Approaches -- 3.1. Introduction -- 3.2. Fuzzy model design -- 3.2.1. Takagi-Sugeno systems -- 3.2.2. Generation of TS models via nonlinear embedding -- 3.3. Neural model design -- 3.3.1. Recurrent neural network -- 3.3.2. Identification of the neural model uncertainty -- 3.4. Fault estimation and diagnosis -- 3.4.1. Actuator fault estimation using neural networks -- 3.4.2. Sensor and actuator fault estimation using fuzzy logic -- 3.5. Fault-tolerant control -- 3.5.1. An overview of the fault-tolerant scheme -- 3.5.2. Robust fault estimation and control -- 3.5.3. Derivation of a robust invariant set -- 3.5.4. Efficient predictive FTC -- 3.6. Illustrative examples -- 3.6.1. Sensor and actuator fault estimation example -- 3.6.2. Fault-tolerant control example -- 3.7. Conclusion -- 3.8. Acknowledgment.
3.9. References -- 4. Model Predictive Control Methods -- 4.1. Introduction -- 4.2. Idea of MPC -- 4.3. Robustness of MPC -- 4.4. Neural-network-based robust MPC -- 4.4.1. Neural network models -- 4.4.2. Nonlinear MPC -- 4.4.3. Approximate MPC -- 4.4.4. Robust nonlinear MPC -- 4.4.5. Robust approximate MPC -- 4.5. Robust control of a pneumatic servo -- 4.5.1. Robust nonlinear neural-network-based MPC -- 4.6. Conclusion -- 4.7. References -- 5. Nonlinear Modeling for Fault-tolerant Control -- 5.1. Introduction -- 5.1.1. Joint fault diagnosis and control -- 5.1.2. Nonlinear adaptive fault estimators -- 5.1.3. Fuzzy fault-tolerant control -- 5.1.4. Recursive adaptive control -- 5.1.5. Sustainable control -- 5.2. Fault-tolerant control strategies -- 5.2.1. Fault tolerance and compensation -- 5.3. Fault diagnosis and tolerant control -- 5.3.1. Fault-tolerant control design -- 5.4. Summary -- 5.5. References -- 6. Virtual Sensors and Actuators -- 6.1. Introduction -- 6.2. Problem statement -- 6.3. Virtual sensors and virtual actuators -- 6.4. LMI-based design -- 6.5. Additional considerations -- 6.6. Application example -- 6.6.1. Virtual actuator -- 6.6.2. Virtual sensors -- 6.7. Conclusion -- 6.8. References -- 7. Conclusions -- 7.1. Introduction -- 7.2. Closing remarks -- 7.3. References -- 8. Open Research Issues -- 8.1. Further works and open problems -- 8.1.1. Sustainable control design objectives -- 8.1.2. Sustainable control concepts and approaches -- 8.1.3. Sustainable control approaches and working methods -- 8.1.4. Sustainable control design ambition -- 8.1.5. Sustainable control innovation potentials -- 8.1.6. Sustainable control expected impacts -- 8.2. Summary -- 8.3. References -- List of Authors -- Index -- Summary of Volume 1 -- EULA. |
| Record Nr. | UNINA-9910829877403321 |
|
Puig Vicenc
|
||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Dynamics and fault diagnosis on nonlinear rotors and impellers / / Jiazhong Zhang
| Dynamics and fault diagnosis on nonlinear rotors and impellers / / Jiazhong Zhang |
| Autore | Zhang Jiazhong |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2022] |
| Descrizione fisica | 1 online resource (281 pages) |
| Disciplina | 620.0044 |
| Collana | Nonlinear Systems and Complexity |
| Soggetto topico |
Fault location (Engineering)
Fault location (Engineering) - Automation |
| ISBN |
9783030943011
9783030943004 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- 1 Periodic Motions to Chaos in a Nonlinear Rotor System -- 1.1 Introduction -- 1.2 Methodology -- 1.3 Bifurcation Trees -- 1.4 Numerical Simulation -- 1.5 Conclusions -- A.1 Appendix -- References -- 2 Fault Diagnosis of Gear Rotor System Based on Collaborative Filtering Recommendation Method -- 2.1 Introduction -- 2.2 Adaptive Oversampling Technology and Multi-scale Entropy Analysis Method -- 2.2.1 Adaptive Oversampling Technology -- 2.2.2 Multi-scale Permutation Entropy -- 2.2.3 Wavelet Packet Energy Entropy -- 2.3 Construction Method of Feature-State Joint Scoring Matrix of Gear Failure -- 2.4 Recommended Diagnosis Method for Gear Fault Collaborative Filtering -- 2.5 Collaborative Filtering Recommended Gear Fault Diagnosis Model Fused with Multi-scale and Multi-domain Entropy -- 2.6 Experiment and Analysis of Gear Fault Diagnosis Cases -- 2.6.1 Gear Fault Diagnosis Experiment -- 2.6.2 Algorithm Verification and Analysis -- 2.6.3 Discussion of Algorithm Effect -- 2.7 Conclusion -- A.1 Appendix 1 -- B.1 Appendix 2 -- References -- 3 Study on Dynamic Behaviors of Rotor Model with Coupling Faults and Applications of TPOD Method -- 3.1 Introduction -- 3.2 Rotor Model with the Coupling Faults -- 3.3 Discussions on Dynamical Behaviors -- 3.3.1 Dynamical Behaviors -- 3.3.2 Effects of Systematic Parameters -- 3.3.2.1 Cracked Depth -- 3.3.2.2 Clearances Between Rotor and Stator -- 3.3.2.3 Stator Stiffness -- 3.3.2.4 Eccentricity -- 3.4 Optimal Reduced Model Based on POM Energy -- 3.5 Efficiency of the Order Reduction Method -- 3.6 Conclusions -- A.1 Appendix 1 -- B.1 Appendix 2 -- References -- 4 Nonlinear and Linear Phenomenon Investigation of Coupled Vibration of a Multi-disc Rotor Based on Multi-mistuned Blades Length or Multi-disordered Staggle Angle Blades -- 4.1 Introduction -- 4.2 Theoretical Analysis.
4.3 Finite Element Methods -- 4.4 Numerical Results -- 4.5 Conclusions -- A.1 Appendix: Matrices Elements -- References -- 5 Lateral-Torsional-Coupled Model Based Dynamic Analyses of Spur Gears Under Time-Varying External Load Conditions with Surface Wear -- 5.1 Introduction -- 5.2 Dynamical Model -- 5.3 Numerical Simulation and Discussion -- 5.3.1 Effects of Wear on Meshing Stiffness and STE -- 5.3.2 Effects of Time-Varying External Loads and Surface Wear -- 5.3.2.1 Dynamic Characteristics of System Operates at n1 == 800 rpm -- 5.3.2.2 Dynamic Characteristics of System Operates at n1 == 1860 rpm -- 5.3.2.3 Dynamic Characteristics of System Operates at n1 == 3720 rpm -- 5.3.2.4 Comparisons of Dynamic Factor and Dominated Amplitudes -- 5.3.3 Parametric Analysis -- 5.3.3.1 Effects of Surface Wear Depth -- 5.3.3.2 Coupling Effects of Time-Varying Load and Gear Wear -- 5.4 Conclusions -- Appendix -- References -- 6 Experimental and Numerical Studies on Compressor Nonlinear Behaviors with Inlet Distortion and Their Interaction -- 6.1 Introduction -- 6.1.1 Experimental Investigations -- 6.1.2 Numerical Investigations Using CFD (Computational Fluid Dynamics) -- 6.2 Experimental and Simulation Setups -- 6.2.1 Experimental Setups -- 6.2.2 Numerical Simulation -- 6.3 Results -- 6.3.1 Steady Part of Flat Baffle Distortion -- 6.3.2 Rotor Steady-State Performance with Distortion -- 6.3.3 Unsteady Part of Flat Baffle Distortion -- 6.3.4 Rotor Performances with Distortion -- 6.4 Conclusions and Outlook -- References -- 7 Study on Mode Localization Induced by Material and Aerodynamic Mistunings in Impellers with Periodical and Cyclic Symmetry -- 7.1 Introduction -- 7.1.1 Background -- 7.1.2 State of the Art -- 7.2 Fundamental Theories of Vibration Localizations of Periodic Structures -- 7.2.1 Concept of Vibration Localization and Its Developments. 7.2.2 Nature of Vibration Localization and Its Effects -- 7.2.3 Main Models of Vibration Localization -- 7.2.4 Main Analysis Methods -- 7.3 Finite Element Method Combined with Materials Mistuning -- 7.3.1 Finite Element Method to Model Material Mistuning -- 7.3.2 Mistuning from Aerodynamics -- 7.3.2.1 Stress Stiffening Effects -- 7.3.2.2 Aerodynamics Effects -- 7.4 Influences of Material Mistuning on Mode Localization -- 7.4.1 Model of Material Mistuning of Impeller -- 7.4.1.1 Meshing and 3D Model -- 7.4.1.2 Stochastic Distribution of Material Mistuning -- 7.4.1.3 Probability Statistical Distribution of Material Properties -- 7.4.2 Numerical Examples -- 7.4.2.1 Mode Analysis of Tuned Impeller -- 7.4.3 Mode Analysis of Mistuned Impeller -- 7.5 Aerodynamic Mistuning and Vibration Localization -- 7.5.1 Analysis of Centrifugal Impeller with Aerodynamic Mistuning -- 7.5.1.1 Numerical Simulation of the Flow Field -- 7.5.1.2 Modal Analysis -- 7.5.2 Relationship Between Degree of Localization and Average Aerodynamic Mistuning -- 7.6 Conclusion -- References -- 8 Fluid-Structure Interactions of a Perimeter-Reinforced Membrane Wing in Laminar Shear Flow -- 8.1 Introduction -- 8.2 Mechanical Model and Mathematical Formulation -- 8.3 Numerical Method -- 8.3.1 Flow Solver -- 8.3.2 Structure Solver -- 8.3.3 FSI Solution Procedure -- 8.4 Numerical Results -- 8.4.1 Computational Model and Code Verification -- 8.4.2 Membrane Wing in Shear Flow -- 8.4.2.1 Aerodynamic Performance -- 8.4.2.2 Structure Response -- 8.4.2.3 Flow Field -- 8.5 Conclusions -- References -- 9 Periodic Motions and Bifurcations in a Double Pendulum -- 9.1 Introduction -- 9.2 Mechanical Model -- 9.3 Periodic Motions and Stability -- 9.4 Period-1 to Period-4 Motions -- 9.5 Period-3 Motion -- 9.6 Conclusion -- Appendix -- References. 10 Analytical Periodic Motions for a First-Order Nonlinear Circuit System Under Different Excitations -- 10.1 Introduction -- 10.2 First-Order Nonlinear Circuit Simulation Model -- 10.3 Analytical Solution of the First-Order Nonlinear Circuit -- 10.4 Characteristics of Numerical Model and Circuit Simulation Model -- 10.5 Output Response of the First-Order Nonlinear Circuit -- 10.6 Conclusions -- References -- 11 Model Reduction on Approximate Inertial Manifolds for NS Equations through Multilevel Finite Element Method and Hierarchical Basis -- 11.1 Introduction -- 11.2 Mathematical Modelling -- 11.2.1 Governing Equations -- 11.2.2 The Boundary Conditions -- 11.2.3 Existence of Inertial Manifolds -- 11.2.4 Multilevel Finite Element Method and Its Basis -- 11.3 Numerical Scheme for Navier-Stokes Equations -- 11.4 Weak Form of Navier-Stokes Equation -- 11.4.1 Verification of Numerical Method -- 11.5 Numerical Results and Discussion -- 11.5.1 Pressure Distribution Contours of NACA 0012 Airfoil -- 11.5.2 Distributions of Pressure Coefficients of NACA 0012 Airfoil -- 11.5.3 Comparisons of Computational Time -- 11.6 Conclusion -- References -- Index. |
| Record Nr. | UNINA-9910568252303321 |
|
Zhang Jiazhong
|
||
| Cham, Switzerland : , : Springer International Publishing, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction of intelligent machine fault diagnosis and prognosis [[electronic resource] /] / Bo-Suk Yang and Achmad Widodo
| Introduction of intelligent machine fault diagnosis and prognosis [[electronic resource] /] / Bo-Suk Yang and Achmad Widodo |
| Autore | Yang O-Suk |
| Pubbl/distr/stampa | New York, : Nova Science Publishers, c2009 |
| Descrizione fisica | 1 online resource (363 p.) |
| Disciplina | 620/.0044 |
| Altri autori (Persone) | WidodoAchmad |
| Soggetto topico |
Fault location (Engineering) - Automation
Automatic test equipment Expert systems (Computer science) Conscious automata Machine learning Machinery - Testing |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-61470-111-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data acquisition, processing, and analysis -- Feature extraction and clustering -- Feature selection -- Fault classification algorithms -- Decision fusion algorithms -- Fault prognosis algorithms. |
| Record Nr. | UNINA-9910461175203321 |
|
Yang O-Suk
|
||
| New York, : Nova Science Publishers, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction of intelligent machine fault diagnosis and prognosis [[electronic resource] /] / Bo-Suk Yang and Achmad Widodo
| Introduction of intelligent machine fault diagnosis and prognosis [[electronic resource] /] / Bo-Suk Yang and Achmad Widodo |
| Autore | Yang O-Suk |
| Pubbl/distr/stampa | New York, : Nova Science Publishers, c2009 |
| Descrizione fisica | 1 online resource (363 p.) |
| Disciplina | 620/.0044 |
| Altri autori (Persone) | WidodoAchmad |
| Soggetto topico |
Fault location (Engineering) - Automation
Automatic test equipment Expert systems (Computer science) Conscious automata Machine learning Machinery - Testing |
| ISBN | 1-61470-111-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data acquisition, processing, and analysis -- Feature extraction and clustering -- Feature selection -- Fault classification algorithms -- Decision fusion algorithms -- Fault prognosis algorithms. |
| Record Nr. | UNINA-9910789747003321 |
|
Yang O-Suk
|
||
| New York, : Nova Science Publishers, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction of intelligent machine fault diagnosis and prognosis [[electronic resource] /] / Bo-Suk Yang and Achmad Widodo
| Introduction of intelligent machine fault diagnosis and prognosis [[electronic resource] /] / Bo-Suk Yang and Achmad Widodo |
| Autore | Yang O-Suk |
| Pubbl/distr/stampa | New York, : Nova Science Publishers, c2009 |
| Descrizione fisica | 1 online resource (363 p.) |
| Disciplina | 620/.0044 |
| Altri autori (Persone) | WidodoAchmad |
| Soggetto topico |
Fault location (Engineering) - Automation
Automatic test equipment Expert systems (Computer science) Conscious automata Machine learning Machinery - Testing |
| ISBN | 1-61470-111-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data acquisition, processing, and analysis -- Feature extraction and clustering -- Feature selection -- Fault classification algorithms -- Decision fusion algorithms -- Fault prognosis algorithms. |
| Record Nr. | UNINA-9910808150403321 |
|
Yang O-Suk
|
||
| New York, : Nova Science Publishers, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
