Robust Monitoring Diagnostic Methods And Tools For Engineered Systems
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| Author | : Eleni N. Chatzi |
| Publisher | : Frontiers Media SA |
| Total Pages | : 208 |
| Release | : 2020-10-23 |
| Genre | : Technology & Engineering |
| ISBN | : 2889660885 |
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
| Author | : Kadry, Seifedine |
| Publisher | : IGI Global |
| Total Pages | : 461 |
| Release | : 2012-09-30 |
| Genre | : Technology & Engineering |
| ISBN | : 146662096X |
Industrial Prognostics predicts an industrial systems lifespan using probability measurements to determine the way a machine operates. Prognostics are essential in determining being able to predict and stop failures before they occur. Therefore the development of dependable prognostic procedures for engineering systems is important to increase the systems performance and reliability. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques provides widespread coverage and discussions on the methods and techniques of diagnosis and prognosis systems. Including practical examples to display the methods effectiveness in real-world applications as well as the latest trends and research, this reference source aims to introduce fundamental theory and practice for system diagnosis and prognosis.
| Author | : Steven X. Ding |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 306 |
| Release | : 2014-04-12 |
| Genre | : Technology & Engineering |
| ISBN | : 1447164105 |
Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.
| Author | : Steven X. Ding |
| Publisher | : Springer Nature |
| Total Pages | : 664 |
| Release | : 2020-11-24 |
| Genre | : Technology & Engineering |
| ISBN | : 3662620049 |
The major objective of this book is to introduce advanced design and (online) optimization methods for fault diagnosis and fault-tolerant control from different aspects. Under the aspect of system types, fault diagnosis and fault-tolerant issues are dealt with for linear time-invariant and time-varying systems as well as for nonlinear and distributed (including networked) systems. From the methodological point of view, both model-based and data-driven schemes are investigated.To allow for a self-contained study and enable an easy implementation in real applications, the necessary knowledge as well as tools in mathematics and control theory are included in this book. The main results with the fault diagnosis and fault-tolerant schemes are presented in form of algorithms and demonstrated by means of benchmark case studies. The intended audience of this book are process and control engineers, engineering students and researchers with control engineering background.
| Author | : Rochdi Merzouki |
| Publisher | : Bentham Science Publishers |
| Total Pages | : 261 |
| Release | : 2012-08-15 |
| Genre | : Technology & Engineering |
| ISBN | : 1608054411 |
Present day mechatronic systems are designed with synergistic integration of mechanics, electronics and computer technology to produce intelligent devices for the purpose of solving real-world problems. Crucial requirements for a mechatronic system are robustness and fault tolerance, i.e. it should have the ability to process incomplete, imprecise or uncertain information. Such systems often have to work in collaborative environments while being subjected to adverse conditions yet adhering to strict safety standards. This e-book explains the fundamentals of designing such systems from the first principles and how to embed intelligence into them. Examples in this volume are not restricted to production lines, but extend to extreme safety based systems such as space and underwater robotics, autonomous transportation systems, aviation systems and medical robots. Moreover, this e-book also presents recent developments in the design of innovative and intelligent mechatronic systems, applied to robotics and transportation systems, thereby providing an authoritative support for researchers and professionals having basic knowledge in mechatronics.
| Author | : Mangey Ram |
| Publisher | : Springer |
| Total Pages | : 254 |
| Release | : 2017-10-20 |
| Genre | : Technology & Engineering |
| ISBN | : 3319654977 |
This book presents the most important tools, techniques, strategy and diagnostic methods used in industrial engineering. The current widely accepted methods of diagnosis and their properties are discussed. Also, the possible fruitful areas for further research in the field are identified.
| 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 | : Wolfgang Borutzky |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 446 |
| Release | : 2011-06-01 |
| Genre | : Technology & Engineering |
| ISBN | : 1441993681 |
The author presents current work in bond graph methodology by providing a compilation of contributions from experts across the world that covers theoretical topics, applications in various areas as well as software for bond graph modeling. It addresses readers in academia and in industry concerned with the analysis of multidisciplinary engineering systems or control system design who are interested to see how latest developments in bond graph methodology with regard to theory and applications can serve their needs in their engineering fields. This presentation of advanced work in bond graph modeling presents the leading edge of research in this field. It is hoped that it stimulates new ideas with regard to further progress in theory and in applications.
| Author | : Chee Khiang Pang |
| Publisher | : CRC Press |
| Total Pages | : 332 |
| Release | : 2017-07-28 |
| Genre | : Computers |
| ISBN | : 1439840598 |
In an era of intense competition where plant operating efficiencies must be maximized, downtime due to machinery failure has become more costly. To cut operating costs and increase revenues, industries have an urgent need to predict fault progression and remaining lifespan of industrial machines, processes, and systems. An engineer who mounts an acoustic sensor onto a spindle motor wants to know when the ball bearings will wear out without having to halt the ongoing milling processes. A scientist working on sensor networks wants to know which sensors are redundant and can be pruned off to save operational and computational overheads. These scenarios illustrate a need for new and unified perspectives in system analysis and design for engineering applications. Intelligent Diagnosis and Prognosis of Industrial Networked Systems proposes linear mathematical tool sets that can be applied to realistic engineering systems. The book offers an overview of the fundamentals of vectors, matrices, and linear systems theory required for intelligent diagnosis and prognosis of industrial networked systems. Building on this theory, it then develops automated mathematical machineries and formal decision software tools for real-world applications. The book includes portable tool sets for many industrial applications, including: Forecasting machine tool wear in industrial cutting machines Reduction of sensors and features for industrial fault detection and isolation (FDI) Identification of critical resonant modes in mechatronic systems for system design of R&D Probabilistic small-signal stability in large-scale interconnected power systems Discrete event command and control for military applications The book also proposes future directions for intelligent diagnosis and prognosis in energy-efficient manufacturing, life cycle assessment, and systems of systems architecture. Written in a concise and accessible style, it presents tools that are mathematically rigorous but not involved. Bridging academia, research, and industry, this reference supplies the know-how for engineers and managers making decisions about equipment maintenance, as well as researchers and students in the field.
| Author | : |
| Publisher | : Academic Press |
| Total Pages | : 454 |
| Release | : 2020-06-26 |
| Genre | : Technology & Engineering |
| ISBN | : 0128218258 |
Methods in Chemical Process Safety, Volume Four focuses on the process of learning from experience, including elements of process safety management, human factors in the chemical process industries, and the regulation of chemical process safety, including current approaches. Users will find this book to be an informative tool and user manual for process safety for a variety of professionals with this new release focusing on Advanced Methods of Risk Assessment and Management, Logic Based Methods for Dynamic Risk Assessment, Bayesian Methods for Dynamic Risk Assessment, Data Driven Methods, Rare Event Risk Assessment, Risk Management and Multi Criteria, and much more. - Helps acquaint the reader/researcher with the fundamentals of process safety - Provides the most recent advancements and contributions on the topic from a practical point-of-view - Presents users with the views/opinions of experts in each topic - Includes a selection of authors who are leading researchers and/or practitioners for each given topic
