Fault Diagnosis For Nonlinear Systems Using Multiple Models
Download Fault Diagnosis For Nonlinear Systems Using Multiple Models full books in PDF, epub, and Kindle. Read online free Fault Diagnosis For Nonlinear Systems Using Multiple Models ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Ehsan Sobhani-Tehrani |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 275 |
| Release | : 2009-06-22 |
| Genre | : Technology & Engineering |
| ISBN | : 0387929061 |
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.
| Author | : Steven X. Ding |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 533 |
| Release | : 2012-12-20 |
| Genre | : Technology & Engineering |
| ISBN | : 1447147995 |
Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools. This second edition of Model-Based Fault Diagnosis Techniques contains: • new material on fault isolation and identification and alarm management; • extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises; • addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and • enhanced discussion of residual evaluation which now deals with stochastic processes. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault identification and diagnosis and as a text it is suitable for graduate students in a formal university-based course or as a self-study aid for practising engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.
| Author | : Marcin Witczak |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 239 |
| Release | : 2013-12-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3319030140 |
This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models. This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.
| Author | : Silvio Simani |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 294 |
| Release | : 2013-11-11 |
| Genre | : Technology & Engineering |
| ISBN | : 1447138295 |
Safety in industrial process and production plants is a concern of rising importance but because the control devices which are now exploited to improve the performance of industrial processes include both sophisticated digital system design techniques and complex hardware, there is a higher probability of failure. Control systems must include automatic supervision of closed-loop operation to detect and isolate malfunctions quickly. A promising method for solving this problem is "analytical redundancy", in which residual signals are obtained and an accurate model of the system mimics real process behaviour. If a fault occurs, the residual signal is used to diagnose and isolate the malfunction. This book focuses on model identification oriented to the analytical approach of fault diagnosis and identification covering: choice of model structure; parameter identification; residual generation; and fault diagnosis and isolation. Sample case studies are used to demonstrate the application of these techniques.
| Author | : Tahir Hikmet Karakoç |
| Publisher | : Springer |
| Total Pages | : 289 |
| Release | : 2017-11-08 |
| Genre | : Technology & Engineering |
| ISBN | : 3319671340 |
This book provides different engineering, management, economic solutions and methodologies regarding sustainable aviation, giving readers a great sense of how sustainable aviation works at the “systems” level. The aviation industry is one of the fastest growing in the world and can make a positive contribution to sustainability. This book presents environmental policies and their application to the aviation industry and evaluates solutions provided to address pollution. Chapters discuss novel technologies that the aviation industry can apply to reduce its environmental impact and become more energy efficient.
| Author | : Nabil Derbel |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 564 |
| Release | : 2019-11-05 |
| Genre | : Technology & Engineering |
| ISBN | : 311059031X |
The book presents selected, extended and peer reviewed papers from the International Multiconference on System, Automation and Control held Leipzig in 2018. These are complemented with solicited contributions by international experts. Main topics are automatic control, robotics, synthesis of automation systems. Application examples range from man-machine interaction, mechatronics, on to biological and economical models.
| Author | : Marcel Staroswiecki |
| Publisher | : Elsevier |
| Total Pages | : 1210 |
| Release | : 2004-02-27 |
| Genre | : Science |
| ISBN | : 9780080440118 |
A three-volume work bringing together papers presented at 'SAFEPROCESS 2003', including four plenary papers on statistical, physical-model-based and logical-model-based approaches to fault detection and diagnosis, as well as 178 regular papers.
| Author | : Dominique Sauter |
| Publisher | : Elsevier |
| Total Pages | : 486 |
| Release | : 2006-02-21 |
| Genre | : Business & Economics |
| ISBN | : 9780080441795 |
| Author | : Christophe Berenguer |
| Publisher | : CRC Press |
| Total Pages | : 544 |
| Release | : 2011-08-31 |
| Genre | : Technology & Engineering |
| ISBN | : 0415683793 |
Advances in Safety, Reliability and Risk Management contains the papers presented at the 20th European Safety and Reliability (ESREL 2011) annual conference in Troyes, France, in September 2011. The books covers a wide range of topics, including: Accident and Incident Investigation; Bayesian methods; Crisis and Emergency Management; Decision Making under Risk; Dynamic Reliability; Fault Diagnosis, Prognosis and System Health Management; Fault Tolerant Control and Systems; Human Factors and Human Reliability; Maintenance Modelling and Optimisation; Mathematical Methods in Reliability and Safety; Occupational Safety; Quantitative Risk Assessment; Reliability and Safety Data Collection and Analysis; Risk and Hazard Analysis; Risk Governance; Risk Management; Safety Culture and Risk Perception; Structural Reliability and Design Codes; System Reliability Analysis; Uncertainty and Sensitivity Analysis. Advances in Safety, Reliability and Risk Management will be of interest to academics and professionals working in a wide range of scientific, industrial and governmental sectors, including: Aeronautics and Aerospace; Chemical and Process Industry; Civil Engineering; Critical Infrastructures; Energy; Information Technology and Telecommunications; Land Transportation; Manufacturing; Maritime Transportation; Mechanical Engineering; Natural Hazards; Nuclear Industry; Offshore Industry; Policy Making and Public Planning.
| Author | : Shuping He |
| Publisher | : Springer Nature |
| Total Pages | : 188 |
| Release | : 2021-03-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9813364742 |
This book focuses on multi-model systems, describing how to apply intelligent technologies to model complex multi-model systems by combining stochastic jumping system, neural network and fuzzy models. It focuses on robust filtering, including finite-time robust filtering, finite-frequency robust filtering and higher order moment robust filtering schemes, as well as fault detection problems for multi-model jump systems, such as observer-based robust fault detection, filtering-based robust fault detection and neural network-based robust fault detection methods. The book also demonstrates the validity and practicability of the theoretical results using simulation and practical examples, like circuit systems, robot systems and power systems. Further, it introduces readers to methods such as finite-time filtering, finite-frequency robust filtering, as well as higher order moment and neural network-based fault detection methods for multi-model jumping systems, allowing them to grasp the modeling, analysis and design of the multi-model systems presented and implement filtering and fault detection analysis for various systems, including circuit, network and mechanical systems.
