Download or read book Fault Detection and Isolation of Nonlinear Systems with Generalized Hamiltonian Representation written by Luis Humberto Rodriguez-Alfaro and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of fault diagnosis in a class of nonlinear system is considered. Systems that can be written in the so-called Generalized Hamiltonian Representation (which is equivalent to an Euler-Lagrange representation) are studied, and a model-based observer approach for this class of systems is developed. The main advantage of the proposed approach is the facility to design the required observers, which take advantage of the system structure given by the Hamitonian representation. In order to show the proposed schema, a model of a permanent magnet synchronous machine is revised and the fault diagnosis schema presented. Simulation results confirm the effectivity of the proposed schema.

Download or read book Fault Diagnosis and Detection written by Mustafa Demetgul and published by BoD – Books on Demand. This book was released on 2017-05-31 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mass production companies have become obliged to reduce their production costs and sell more products with lower profit margins in order to survive in competitive market conditions. The complexity and automation level of machinery are continuously growing. This development calls for some of the most critical issues that are reliability and dependability of automatic systems. In the future, machines will be monitored remotely, and computer-aided techniques will be employed to detect faults in the future, and also there will be unmanned factories where machines and systems communicate to each other, detect their own faults, and can remotely intercept their faults. The pioneer studies of such systems are fault diagnosis studies. Thus, we hope that this book will contribute to the literature in this regard.

Download or read book Fault Detection and Diagnosis in Nonlinear Systems written by Rafael Martinez-Guerra and published by Springer. This book was released on 2013-11-19 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Fault Diagnosis and Fault tolerant Control in Nonlinear Systems written by Xiaodong Zhang and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault-tolerance is an essential property of many modern intelligent control systems. This dissertation presents a general framework for fault diagnosis and fault-tolerant control in nonlinear dynamical systems in the presence of possibly unstructured modeling uncertainty. The overall architecture is based on a learning approach, where the unknown fault is estimated using adaptive and on-line approximation techniques. First, the problem of fault detection and isolation in nonlinear uncertain systems is investigated. A novel fault isolation scheme is presented with its robustness and sensitivity properties enhanced by the use of adaptive thresholds in the residual evaluation stage. The fault isolation scheme is rigorously analyzed for its fault isolability condition and fault isolation time. Then we integrate the fault diagnosis (fault detection and isolation) scheme with fault-tolerant control design. Based on the fault information obtained during the diagnosis procedure, the system controller is reconfigured after fault detection and fault isolation, respectively, to compensate the effects of the fault. The closed-loop stability of the integrated fault-tolerant control system is established for different modes of the controlled plant. The effectiveness of the proposed fault diagnosis and fault-tolerant control scheme is illustrated via simulations in the three-tank system, a rigid-link robotic manipulator and the van der Pol oscillator system.

Download or read book Fault Detection and Isolation in Nonlinear Systems written by Wei Chen and published by Sudwestdeutscher Verlag Fur Hochschulschriften AG. This book was released on 2012-07-01 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the increasing complexity of modern technical processes, the most critical issues in the design of an automated system nowadays are safety/reliability, higher performance and cost efficiency. Therefore, fault diagnosis is becoming an essential part of modern control systems. Contrary to the well-developed fault diagnosis techniques for linear systems, there is still no systematic solution for nonlinear systems. Since most of real systems are nonlinear in nature, the objective of this thesis is to develop nonlinear observer and energy-balance based fault diagnosis approaches, which achieve a high performance and at the same time reduce the difficulties in the design and application.

Download or read book Online Fault Detection and Isolation of Nonlinear Systems Based on Neurofuzzy Networks written by Hing-Tung Mok and published by Open Dissertation Press. This book was released on 2017-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Online Fault Detection and Isolation of Nonlinear Systems Based on Neurofuzzy Networks" by Hing-tung, Mok, 莫興東, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b3979406 Subjects: Fault location (Engineering) Neural networks (Computer science) Fuzzy systems

Download or read book Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach written by Ehsan Sobhani-Tehrani and published by Springer. This book was released on 2009-06-06 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theincreasingcomplexityofspacevehiclessuchassatellites,andthecostreduction measures that have affected satellite operators are increasingly driving the need for more autonomy in satellite diagnostics and control systems. Current methods for detecting and correcting anomalies onboard the spacecraft as well as on the ground are primarily manual and labor intensive, and therefore, tend to be slow. Operators inspect telemetry data to determine the current satellite health. They use various statisticaltechniques andmodels,buttheanalysisandevaluation ofthelargevolume of data still require extensive human intervention and expertise that is prone to error. Furthermore, for spacecraft and most of these satellites, there can be potentially unduly long delays in round-trip communications between the ground station and the satellite. In this context, it is desirable to have onboard fault-diagnosis system that is capable of detecting, isolating, identifying or classifying faults in the system withouttheinvolvementandinterventionofoperators.Towardthisend,theprinciple goal here is to improve the ef?ciency, accuracy, and reliability of the trend analysis and diagnostics techniques through utilization of intelligent-based and hybrid-based methodologies.

Download or read book Robust Observer Based Fault Diagnosis for Nonlinear Systems Using MATLAB written by Jian Zhang and published by Springer. This book was released on 2016-05-27 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces several observer-based methods, including: • the sliding-mode observer • the adaptive observer • the unknown-input observer and • the descriptor observer method for the problem of fault detection, isolation and estimation, allowing readers to compare and contrast the different approaches. The authors present basic material on Lyapunov stability theory, H¥ control theory, sliding-mode control theory and linear matrix inequality problems in a self-contained and step-by-step manner. Detailed and rigorous mathematical proofs are provided for all the results developed in the text so that readers can quickly gain a good understanding of the material. MATLAB® and Simulink® codes for all the examples, which can be downloaded from http://extras.springer.com, enable students to follow the methods and illustrative examples easily. The systems used in the examples make the book highly relevant to real-world problems in industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers quickly find the information they need and to improve readability, the individual chapters are written so as to be semi-independent of each other. Robust Oberserver-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.

Download or read book Robust Fault Detection and Isolation of Nonlinear Systems with Augmented State Models written by Jochen Aßfalg and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Model Based Fault Detection and Isolation in Nonlinear Dynamic Systems written by Vasanth Krishnaswami and published by . This book was released on 1996 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Observer based Fault Detection and Isolation for Nonlinear Systems written by T. F. Lootsma and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Nonlinear Model based Fault Detection and Isolation written by Iván Castillo and published by . This book was released on 2011 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation addresses fault detection and isolation (FDI) for nonlinear systems based on models using two different approaches. The first approach detects and isolates single and multiple faults, particularly when there are restrictions in measuring process variables. The FDI model-based method is based on nonlinear state estimators, in which the estimates are calculated under high filtering, and a high fidelity residuals model, obtained from the difference between measurements and estimates. In the second approach, a robust fault detection and isolation (RFDI) system, that handles both parameter estimation and parameters with uncertainties, is proposed in which complex models can be simplified with nonlinear functions so that they can be formulated as differential algebraic equations (DAE). In utilizing this framework, faults are identified by performing a statistical analysis. Finally, comparisons with existing data-driven approaches show that the proposed model-based methods are capable of distinguishing a fault from the diverse array of possible faults, a common occurrence in complex processes.

Download or read book Data based Fault Detection and Isolation for Nonlinear Process Systems Using Feedback Control written by Benjamin J. Ohran and published by . This book was released on 2009 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Integrated Fault Detection and Isolation and Fault tolerant Control of Nonlinear Process Systems written by Charles W. McFall and published by . This book was released on 2008 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fault Detection Isolation and Identification for Nonlinear Systems Using a Hybrid Approach written by Ehsan Sobahni-Tehrani and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fault Detection and Isolation Based on Adaptive Observers for Nonlinear Dynamic Systems written by Qinghua Zhang and published by . This book was released on 1999 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Distributed Fault Diagnosis of Interconnected Nonlinear Uncertain Systems written by Qi Zhang and published by . This book was released on 2013 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault diagnosis is crucial in achieving safe and reliable operations of interconnected control systems. This dissertation presents a distributed fault detection and isolation (FDI) method for interconnected nonlinear uncertain systems. The contributions of this dissertation include the following: First, the detection and isolation problem of process faults in a class of interconnected input-output nonlinear uncertain systems is investigated. A novel fault detection and isolation scheme is devised, and the fault detectability and isolability conditions are rigorously investigated, characterizing the class of faults in each subsystem that are detectable and isolable by the proposed distributed FDI method. Second, a distributed sensor fault FDI scheme is developed in a class of interconnected input-output nonlinear systems where only the measurable part of state variables are directly affected by the interconnections between subsystems. A class of multimachine power systems is used as an application example to illustrate the effectiveness of the proposed approach. Third, the previous results are extended to a class of interconnected input-output nonlinear systems where both the unknown and the measurable part of system states of each subsystem are directly affected by the interconnections between subsystems. In this case, the fault propagation effect among subsystems directly affects the unknown part of state variables of each subsystem. Thus, the problem considered is more challenging than what is described above. Finally, a fault detection scheme is presented for a more general distributed nonlinear systems. With a removal of a restrictive limitation on the system model structure, the results described above are extended to a class of interconnected nonlinear uncertain systems with a more general structure. In addition, the effectiveness of the above fault diagnosis schemes is illustrated by using simulations of interconnected inverted pendulums mounted on carts and multi-machine power systems. Different fault scenarios are considered to verify the diagnosis performances, and the satisfactory performances of the proposed diagnosis scheme are validated by the good simulation results. Some interesting future research work is also discussed.