CDC2000 Fault Detection and Analysis

Fault Detection and Analysis
Home Full List of Titles 1: Proceedings of CDC2000 Discrete Event Systems Control in Communication Systems Optimal Control and Applications I Optimisation Approaches and Methods Model Predictive Control Advances in Linear Estimation Stochastic and Uncertain Systems Nonlinear Control and Applications Nonlinear Estimation and Filtering Formation Control and its Applications New Approaches to Fuzzy Control Manufacturing Systems Automotive Applications Stability Issues in Hybrid Control Recent Advances in Stochastic Networks Optimal Control and Applications II Robust Controller Design - mu, L1 and H2 Constrained and Receding Horizon Control Identification and Control around the World Markov Decision Processes Nonlinear Optimisation Observers for Nonlinear Systems Motion Planning Neural / Fuzzy Stability and Control Motor Control Control of Quantum Phenomena I Hybrid Systems Methods Control in Communication Networks Robustness and Optimisation Bumpless Transfer, Antiwindup and Saturation Adaptive Control: Linear Systems Estimation and Closed Loop Identification Control of Markov Processes Nonlinear Filtering and Control Modelling, Identification and Validation of Nonlinear Systems Differential Geometric Control Theory for Mechanical Systems Nonlinear Output Feedback Control Pneumatics and Compression Systems Control of Quantum Phenomena II Stability of Hybrid Systems Performance Analysis in Communication Networks Adaptive Control of Nonlinear Systems LMI Methods in Design Robust Control of Time Delay Systems Subspace Identification Methods Nonlinear Stochastic Filtering and Estimation Bifurcations, Chaos and Control I New Progress in Synthesis of Nonlinear Systems I Implementation Issues of Sliding Mode Control Theory Control of Mixing in Shear Flows Novel Neural Network Control Techniques for Industrial Motion Control Systems Physiological Control Systems Optimal Control of Hybrid Systems Stochastic Models for Communication Networks Control and Stabilisation of Nonlinear Systems New Directions in Robust Control Linear Systems Theory Advanced Topics in Systems Theory Estimation in Action Bifurcations, Chaos and Control II New Progress in Synthesis of Nonlinear Systems II Numerical Design and Analysis Techniques for Nonlinear Systems Analysis and Control of Underactuated Systems Sliding Mode Control I Challenges in the Application of Control to Computer Systems Estimation and Diagnosis of Discrete Event Systems Communications and Games Optimal Control Stochastic Systems Model Reduction Methodologies Identification and Subspace Methods Applications of Nonlinear Adaptive Control Advances in Nonlinear Output Feedback Design The Behavioural Approach to Systems and Control Vision Based Estimation and Control: Recent Advances and Open Problems Agile Control of Military Operations Sliding Mode Control II Model-based Fault Diagnosis of Industrial Processes Discrete Event Systems / Petri Nets System Identification and Confidence Estimation New Approaches to H-Infinity Control I Probabilistic Approaches to Robust Control Time Delay System Stabilisation Identification Methods Controlled Stochastic Processes Output Feedback of Nonlinear Systems Topics in Nonlinear Stabilisation Mobile Robots: Tracking Control Robust Control of Nonlinear Systems Power Systems Stabilisation and Control Disk Drive Control Hybrid Control Applications Discrete Time Systems New Approaches to H-Infinity Control II Linear Systems with Saturating Actuators New Theories in Distributed Parameter Systems Applications of Estimation and Identification Stochastic Control and Tuning Methodologies Control of Nonlinear Systems Iterative Learning and Control Coordinating Robot Systems Nonlinear Time Varying Systems Novel Applications of Neural Networks Aerospace Applications Switched Systems Implicit and Descriptor Systems LQG Periodic Systems and Disturbances New Horizons for Distributed Parameter Systems State Estimation Learning and Neuro-Control Nonlinear Control and Stabilisation I Tracking Vision Servoing Controllability of Nonlinear Systems Control of Flexible Systems Electro-Mechanical Systems Robust Control Methods and Applications Fault Detection and Diagnosis Optimisation and Applications Robust Stability Analysis Numerical Methods in Control Filtering in Continuous Time Stochastic Systems Interplay between Control and Signal Processing Fault Detection and Analysis Nonlinear Dynamical Systems Nonlinear Time Delay Systems Computational Issues in Nonlinear Control Disturbance Rejection Process Control Industry Applications Linear Parameter Varying Systems Linear Control Systems Dynamic and Nonlinear Programming Model Reduction Applications New Techniques for Control and Systems: Numerical Linear Algebra Estimation and Identification using Hidden Markov Models Applications of Stochastic Control Topics in Linear Design Nonlinear Control and Stabilisation II Ambulatory Robot Systems Chaotic and Oscillatory Systems Biomedical System Control Integrated Control and CPU Scheduling Linear Design Techniques Adaptive Disturbance / Noise Compensation Nonlinear Model Predictive Control Sensitivity Design, Analysis and Limitations Analysis of Linear Systems Linear Matrix Inequalities in Design Lyapunov's 2nd Method Robotics: Tracking Control Lagrangian and Hamiltonian Theory Variable Structure Control Machine Vision Signal Processing Methods in Control Applied Nonlinear Control Author Index A B C D E F G H I J K L M N O P Q R S T U V W X Y Z	Design of Fault Detectors Using H-Infinity Optimization Authors: Henrik Niemann, Jakob Stoustrup, Volume: 1, Page 4327 Paper number 9145 Abstract: The problem of detecting and/or isolating faults in dynamical systems is assessed. In contrast to previous approaches, the residual vector is considered to be a design variable as a free transfer function in addition to the actual filter which is supposed to minimize the residual. Some main directions are suggested, and a numerical algorithm implementing part of these is proposed. Numerical examples support the effectiveness of the algorithm. CD009145.PDF (From Author) TOP LMI-Based Filter Design for Fault Detection and Isolation Authors: Euripedes G. Nobrega, Musa O. Abdalla, Karolos M. Grigoriadis, Volume: 1, Page 4329 Paper number 2174 Abstract: A linear matrix inequality (LMI) based filter design approach for fixed-order robust fault detection and isolation (FDI) is examined in this paper. The proposed filter design provides necessary and sufficient conditions for the existence of a solution to the detection and isolation of faults using an H-infinity formulation. These conditions are expressed in terms of LMIs with matrix rank constraints, and a parameterization of all admissible filters is provided, which correspond to a feasible solution. A convex LMI problem is obtained for the full-order FDI filter design. Finally, the proposed methods are demonstrated using a structural system simulation example, which include faulty actuators, sensors and external disturbances. CD002174.PDF (From Author) TOP On The Problem Of Fault Detection And Residual Generation Authors: Mohamed Djemai, Jean-Pierre Barbot, Olivier Bethoux, Volume: 1, Page 4335 Paper number 1442 Abstract: In this paper, the Fundamental Problem of Residual Generation (FPRG) is studied. The solution of this problem is the first step for the solution of the fault detection problem. Here a class of nonlinear perturbed input-affine system is considered. The technique proposed here is based on two steps : The first one consists in decoupling the perturbation with respect to the fault by using the technique of output injection in a new way. The second one consists in detecting, by logic decision, the fault. Nonlinear observer with linearizable estimated error dynamics decoupled from the input and the disturbance is used as a residual generator. The paper ends with an illustrative example. CD001442.PDF (From Author) TOP A Sequential Monte Carlo Filtering Approach to Fault Detection and Isolation in Nonlinear Systems Authors: Visakan Kadirkamanathan, Ping Li, Mohamed H. Jaward, Simon G. Fabri, Volume: 1, Page 4341 Paper number 2159 Abstract: Much of the development in fault detection schemes have relied on the system being Linear and the noise and disturbances being Gaussian. In such cases, optimal filtering ideas based on Kalman filtering is utilised in estimation followed by a residual analysis for which whiteness tests are typically carried out. Linearised approximations have been used in the nonlinear systems case. However, linearisation techniques, being approximate, tend to suffer from poor detection or high false alarm rates. In this paper, we use the sequential Monte Carlo filtering approach where the complete posterior distribution of the estimates are represented through samples or particles as opposed to the mean and covariance of an approximated Gaussian distribution. We compare the fault detection performance with that using the extended Kalman filtering and investigate the fault isolation performance on a nonlinear system. CD002159.PDF (From Author) TOP A Differential Geometric Approach to Fault Detection and Isolation for State Affine Systems Authors: Hassan Hammouri, Pousga Kabore, Michel Kinnaert, Volume: 1, Page 4347 Paper number 1272 Abstract: A geometric approach to the synthesis of a residual generator for fault detection and isolation in state affine systems is considered. A necessary and sufficient condition to solve the so-called fundamental problem of residual generation is obtained. The proposed approach resorts to extensions of the notions of (C,A)-invariant and unobservability subspaces, and it yields a constructive design method. A state observer for a state affine system up to output injection is also needed in the design. CD001272.PDF (From Author) TOP Improved PCA With Optimized Sensor Locations For Process Monitoring And Fault Diagnosis Authors: Haiqing Wang, Zhihuan Song, Ping Li, Volume: 1, Page 4353 Paper number 53 Abstract: Process monitoring and fault diagnosis using principal component analysis (PCA) were studied intensively and applied to industry processes. The emphasis of most PCA-based works has been mainly on procedures to perform monitoring and diagnosis given a set of sensors, and little attention is paid to the actual location of sensors for efficient detection and identification of process faults. In this paper, graph-based techniques are used to optimize sensor locations to ensure obtaining the maximum fault resolution. Based on the optimized sensor network, an improved PCA is proposed by introducing two new statistics of PVR and CVR to take place the Q statistic in the conventional PCA. The improved PCA can efficiently detect weak changes, and give an insight into the root cause of process fault. Simulation results of a CSTR process show that the improved PCA with optimized sensor locations is superior to conventional methods. CD000053.PDF (From Author) TOP Fault-Tolerant Control About Integrity for Descriptor Systems Authors: Yuepeng Chen, Qingling Zhang, Wanquan Liu, Volume: 1, Page 4359 Paper number 1035 Abstract: This short paper discusses the design of integrity controller for linear time-invariant discrete descriptor system. Some conditions for integrity of the system are obtained by Lyapunov method. CD001035.PDF (From Author) TOP