Cover image for Fault Detection, Supervision and Safety of Technical Processes 2006 : A Proceedings Volume from the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes.
Fault Detection, Supervision and Safety of Technical Processes 2006 : A Proceedings Volume from the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes.
Title:
Fault Detection, Supervision and Safety of Technical Processes 2006 : A Proceedings Volume from the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes.
Author:
Zhang, Hong-Yue.
ISBN:
9780080555393
Personal Author:
Physical Description:
1 online resource (1548 pages)
Series:
IPV - IFAC Proceedings Volume
Contents:
Front Cover -- Fault Detection, Supervision and Safety of Technical Processes 2006 -- Copyright Page -- Contents -- Part I: Plenary Session -- Chapter 1. Fault Diagnosis of Networked Control Systems -- Chapter 2. Fault-tolerance as a Key Requirement for the Control of Modem Systems -- Chapter 3. Statistical Signal Processing Approaches to Fault Detection -- Part II: Nonlinear Systems -- Chapter 4. The Nonlinear Output Frequency Response Function and its Application to Fault Detection -- Chapter 5. Fault Diagnosis of a Class of Singular Nonlinear Systems -- Chapter 6. An Algebraic Method for Nonlinear System Decomposition -- Chapter 7. A Realization Approach for Residual Expressions -- Chapter 8. Fault Estimation for Nonlinear Descriptor Systems with Lipschitz Constraints via LMI Approach -- Chapter 9. An Improved Invariance-like Theorem -- Part III: Neural Networks -- Chapter 10. Two Neural Net-learning Methods for Model Based Fault Detection -- Chapter 11. Component Fault Diagnosis using Wavelet Neural Networks with Local Recurrent Structure -- Chapter 12. Fault Detection in Catalytic Cracking Converter by Means of Probability Density Approximation -- Chapter 13. Increasing Effectiveness of Model-based Fault Diagnosis: A Dynamic Bayesian Network Design for Decision Making -- Part IV: Principal Component Analysis -- Chapter 14. Nonlinear PCA for Process Monitoring using the Local Approach -- Chapter 15. Improved Model Predictive Control using PCA -- Chapter 16. Multivariate Statistical Process Monitoring using Multi-scale Kernel Principal Component Analysis -- Chapter 17. Influence of Scaling and Unfolding in PCA Based Monitoring of Nutrient Removing Batch Process -- Chapter 18. Nonlinear Multiscale Fault Detection and Identification -- Part V: Fault Tolerant Control of Network Systems.

Chapter 19. Reconfiguration in Networked Control Systems: Fault Tolerant Control and Plug-and-play -- Chapter 20. Set-points Reconfiguration in Networked Dynamical Systems -- Chapter 21. Decentralized and Autonomous Design for FDI/FTC of Networked Control Systems -- Chapter 22. Fault Tolerant Hybrid MPC Applied on Sewer Networks -- Chapter 23. Coordinated Diagnosis of Nondeterministic Automata Networks -- Chapter 24. Minimising False Alarms Caused by Communication Delays in Networked Sytems -- Part VI: Flight Control Systems -- Chapter 25. Modelling of Vertical Gyroscopes with Consideration of Faults -- Chapter 26. Modelling of Rate Gyroscopes with Consideration of Faults -- Chapter 27. Advantages of using µ-synthesis for Fault-tolerant Flight Control System -- Chapter 28. Application of Fault Diagnosis Methodologies to a General Aviation Aircraft -- Chapter 29. Differential Flatness and Fault Detection in Flight Guidance Dynamics -- Part VII: Nonlinear Observers -- Chapter 30. The Observer Design for Nonlinear System with both Input and Output Unknown Disturbances -- Chapter 31. An LMI Approach to Designing Observers and Unknown Input Observers for Nonlinear Systems -- Chapter 32. Particle Filters for Dynamic Data Rectification and Process Change Detection -- Chapter 33. Disturbance Decouping Sequential Monte Carlo Filtering and Application in Nonlinear Robust FaultDiagnosis -- Chapter 34. Fault Diagnostic Filtering using Stochastic Distributions in Nonlinear Generalized H∞ Setting -- Part VIII: Neuro-fuzzy Systems -- Chapter 35. A New Dynamic Neuro-fuzzy System Applied to Fault Diagnosis of an Evaporation Station -- Chapter 36. Fault Detection by Neuro-fuzzy Identification in a Nonlinear System -- Chapter 37. Intelligent Fault Diagnosis in Lead-zinc Smelting Process.

Chapter 38. Robust Fuzzy Fault Detection for Continuous-time Nonlinear Dynamic Systems -- Chapter 39. Online Fault Detection and Isolation of Nonlinear Systems Based on Neurofuzzy Networks -- Chapter 40. A Vibration Fault Diagnosis System of HGS Based on FNN -- Part IX: Statistical Methods -- Chapter 41. On Line Change Detection with Nuisance Parameters -- Chapter 42. Condition Monitoring of Model Predictive Control Systems using Markov Models -- Chapter 43. An Approach to Detect and Isolate Faults for Nonlinear Systems with Periodic Input -- Chapter 44. The Research of Process Monitoring Based on Data Fusion Theory -- Chapter 45. Detection Limits for Linear Non-Gaussian State-Space Models -- Part X: Networked Control Systems Tolerant to Faults -- Chapter 46. Multi-red Controller for Router Fault Accommodation -- Chapter 47. Ftc Strategies in Model Predictive Control of a Dearomatisation Process -- Chapter 48. Robustness against Unknown Networked Induced Delays of Observer based FDI -- Chapter 49. Observer-based Monitoring of Distributed Networked Control Systems -- Chapter 50. NetworkCalculus based FDI Approach for Switched Ethernet Architecture -- Chapter 51. Control Reconfiguration in Networked Control System -- Part XI: Aeronautics and Aerospace -- Chapter 52. Application of Diagnostic Techniques to an Experimental Aircratt Fuel Rig -- Chapter 53. Fault Tolerance Evaluation of a Neural Predictive Flight Control System -- Chapter 54. Sliding Mode Fault Detection and Isolation in a Satellite Leader/Follower System -- Chapter 55. Robust Fault Diagnosis of the Microscope Satellite Micro-thrusters -- Chapter 56. A Unified Failure/damage Approach to Battle Damage Regeneration : Application to Ground Military Systems -- Chapter 57. On Robust Fault-tolerant Control of Missile Control System -- Part XII: Parity Relations.

Chapter 58. Parity Relations for Linear Dynamic Systems with Multiplicative Uncertainties -- Chapter 59. Parity Relation based Fault Estimation for Nonlinear Systems: An LMI Approach -- Chapter 60. An Integrated Way to Design FD/FTC Modules via Parity Space and Model Following -- Chapter 61. Fault Detection of Descriptor Systems -- Chapter 62. Fault Diagnosis of Sensors in Autonomous Underwater Vehicle: Adaptive Quasi-linear Parity Relations Method -- Chapter 63. Fuzzy Parity Equation for Fault Detection and Identification of Nonlinear Systems -- Part XIII: Intelligent Systems -- Chapter 64. Fault Diagnosis System based in Agents -- Chapter 65. Regression-based Variable Reconstruction in Multivariate Systems -- Chapter 66. Surface Roughness and Cutting Tool-wear Diagnosis Based on Bayesian Networks -- Chapter 67. The Use of Evolutionary Optimization in Fuzzy TSK Model Identification -- Chapter 68. Adaptive Structural Analysis for FDI Design in Evolving Systems -- Part XIV: Information Theory and Bayesian Approaches -- Chapter 69. Robust Fault Detection and Isolation based on the Kullback Divergence -- Chapter 70. Entropy Optimization Filtering for Fault Isolation of Non-gaussian Systems -- Chapter 71. A Maximum Entropy based Approach to Fault Diagnosis using Discrete and Continuous Features -- Chapter 72. Dynamic Bayesian Networks in System Reliability Analysis -- Chapter 73. A Bayesian Approach to Fault Isolation-Structure Estimation and Inference -- Chapter 74. Non-logarithmic Probabilistic Rates of the Object Condition's Uncertainty and the Diagnostic Symptoms' Informativity -- Part XV: On Active Fault Tolerant Control -- Chapter 75. Active Actuator Fault Tolerant Control Design for Polytopic LPV Systems -- Chapter 76. Full Vehicle Active Suspension: Sensor Fault Diagnosis and Fault Tolerance.

Chapter 77. Structural Design of Systems with Safe Behavior Under Single and Multiple Faults -- Chapter 78. Fault Tolerant Control for Uncertain Systems with Parametric Faults -- Chapter 79. Development of Fault Tolerant Control System for Condensation Power Turbine -- Chapter 80. Reconfiguration on Electric Vehicle After Major Actuator Faults -- Part XVI: Automotive Systems -- Chapter 81. Fault Diagnosis of an Active Suspension Control System -- Chapter 82. Determining a Component's Fault Status and the Status' Readiness -- Chapter 83. Fault Detection of a Steering Wheel Sensor Signal in an Active Front Steering System -- Chapter 84. Hierarchical Modelling and Diagnosis for Embedded Systems -- Chapter 85. Fault Detection using Redundant Navigation Modules -- Part XVII: Linear Observers I -- Chapter 86. Designing Diagnostic Observers via Entirely-left Eigenstructure Assignment -- Chapter 87. Fast Rate Fault Detection for Multirate Sampled-data Systems with Time-delays -- Chapter 88. Observer Gain Effect in Linear Interval Observer-based Fault Detection -- Chapter 89. A Model-free Fault Detection Approach of Continuous-time Systems from Time Domain Data -- Chapter 90. Analysis of Observer-based Fault Tolerant Control Systems with Markovian Parameters -- Chapter 91. Designing FDI Observers by Improved Evolutionary Multi-objective Optimization -- Part XVIII: Uncertain Systems -- Chapter 92. Active Fault Diagnosis by Temporary Destabilization -- Chapter 93. Generation of Set Membership Tests for Fault Diagnosis and Evaluation of their Worst Case Sensitivity -- Chapter 94. Fault Detection based on Set-membership Inversion -- Chapter 95. Parameter Uncertainties Characterisation for Linear Models -- Chapter 96. Active Fault Diagnosis in Closed-loop Uncertain Systems -- Chapter 97. Multiple Model Weight Estimation for Models with no Common State.

Part XIX: Sttisticalmethods II.
Abstract:
The safe and reliable operation of technical systems is of great significance for the protection of human life and health, the environment, and of the vested economic value. The correct functioning of those systems has a profound impact also on production cost and product quality. The early detection of faults is critical in avoiding performance degradation and damage to the machinery or human life. Accurate diagnosis then helps to make the right decisions on emergency actions and repairs. Fault detection and diagnosis (FDD) has developed into a major area of research, at the intersection of systems and control engineering, artificial intelligence, applied mathematics and statistics, and such application fields as chemical, electrical, mechanical and aerospace engineering. IFAC has recognized the significance of FDD by launching a triennial symposium series dedicated to the subject. The SAFEPROCESS Symposium is organized every three years since the first symposium held in Baden-Baden in 1991. SAFEPROCESS 2006, the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes was held in Beijing, PR China. The program included three plenary papers, two semi-plenary papers, two industrial talks by internationally recognized experts and 258 regular papers, which have been selected out of a total of 387 regular and invited papers submitted. * Discusses the developments and future challenges in all aspects of fault diagnosis and fault tolerant control * 8 invited and 36 contributed sessions included with a special session on the demonstration of process monitoring and diagnostic software tools.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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