Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

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Publisher : Springer Science & Business Media
ISBN 13 : 3540798714
Total Pages : 223 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes by : Krzysztof Patan

Download or read book Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes written by Krzysztof Patan and published by Springer Science & Business Media. This book was released on 2008-06-24 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re?ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti?c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.

Fault Diagnosis

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Publisher : Springer Science & Business Media
ISBN 13 : 3642186157
Total Pages : 922 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Fault Diagnosis by : Józef Korbicz

Download or read book Fault Diagnosis written by Józef Korbicz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 922 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive work presents the status and likely development of fault diagnosis, an emerging discipline of modern control engineering. It covers fundamentals of model-based fault diagnosis in a wide context, providing a good introduction to the theoretical foundation and many basic approaches of fault detection.

Fault-Diagnosis Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3540303685
Total Pages : 475 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Fault-Diagnosis Systems by : Rolf Isermann

Download or read book Fault-Diagnosis Systems written by Rolf Isermann and published by Springer Science & Business Media. This book was released on 2006-01-16 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: With increasing demands for efficiency and product quality plus progress in the integration of automatic control systems in high-cost mechatronic and safety-critical processes, the field of supervision (or monitoring), fault detection and fault diagnosis plays an important role. The book gives an introduction into advanced methods of fault detection and diagnosis (FDD). After definitions of important terms, it considers the reliability, availability, safety and systems integrity of technical processes. Then fault-detection methods for single signals without models such as limit and trend checking and with harmonic and stochastic models, such as Fourier analysis, correlation and wavelets are treated. This is followed by fault detection with process models using the relationships between signals such as parameter estimation, parity equations, observers and principal component analysis. The treated fault-diagnosis methods include classification methods from Bayes classification to neural networks with decision trees and inference methods from approximate reasoning with fuzzy logic to hybrid fuzzy-neuro systems. Several practical examples for fault detection and diagnosis of DC motor drives, a centrifugal pump, automotive suspension and tire demonstrate applications.

Robust and Fault-Tolerant Control

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Publisher : Springer
ISBN 13 : 303011869X
Total Pages : 209 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Robust and Fault-Tolerant Control by : Krzysztof Patan

Download or read book Robust and Fault-Tolerant Control written by Krzysztof Patan and published by Springer. This book was released on 2019-03-16 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust and Fault-Tolerant Control proposes novel automatic control strategies for nonlinear systems developed by means of artificial neural networks and pays special attention to robust and fault-tolerant approaches. The book discusses robustness and fault tolerance in the context of model predictive control, fault accommodation and reconfiguration, and iterative learning control strategies. Expanding on its theoretical deliberations the monograph includes many case studies demonstrating how the proposed approaches work in practice. The most important features of the book include: a comprehensive review of neural network architectures with possible applications in system modelling and control; a concise introduction to robust and fault-tolerant control; step-by-step presentation of the control approaches proposed; an abundance of case studies illustrating the important steps in designing robust and fault-tolerant control; and a large number of figures and tables facilitating the performance analysis of the control approaches described. The material presented in this book will be useful for researchers and engineers who wish to avoid spending excessive time in searching neural-network-based control solutions. It is written for electrical, computer science and automatic control engineers interested in control theory and their applications. This monograph will also interest postgraduate students engaged in self-study of nonlinear robust and fault-tolerant control.

Modeling, Diagnostics and Process Control

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Publisher : Springer Science & Business Media
ISBN 13 : 3642166539
Total Pages : 384 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Modeling, Diagnostics and Process Control by : Józef Korbicz

Download or read book Modeling, Diagnostics and Process Control written by Józef Korbicz and published by Springer Science & Business Media. This book was released on 2010-11-19 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern control systems are complex in the sense of implementing numerous functions, such as process variable processing, digital control, process monitoring and alarm indication, graphic visualization of process running, or data exchange with other systems or databases. This book conveys a description of the developed DiaSter system as well as characteristics of advanced original methods of modeling, knowledge discovery, simulator construction, process diagnosis, as well as predictive and supervision control applied in the system. The system allows early recognition of abnormal states of industrial processes along with faults or malfunctions of actuators as well as technological and measuring units. The universality of solutions implemented in DiaSter facilitates its broad application, for example, in the power, chemical, pharmaceutical, metallurgical and food industries. The system is a world-scale unique solution, and due to its open architecture it can be connected practically with any other control systems. The monograph presents theoretical and practical results of research into fault diagnosis and control conducted over many years within the cooperation of Polish research teams from the Warsaw University of Technology, the University of Zielona Góra, the Silesian University of Technology in Gliwice, and the Technical University of Rzeszów. The book will be of great interest to researchers and advanced students in automatic control, technical diagnostics and computer engineering, and to engineers tasked with the development of advanced control systems of complex industrial processes.

Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

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Publisher : Springer
ISBN 13 : 3319015478
Total Pages : 182 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis by : Marcin Mrugalski

Download or read book Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis written by Marcin Mrugalski and published by Springer. This book was released on 2013-08-04 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems. A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered. All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.

Sensors Fault Diagnosis Trends and Applications

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Publisher : MDPI
ISBN 13 : 3036510486
Total Pages : 236 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Sensors Fault Diagnosis Trends and Applications by : Piotr Witczak

Download or read book Sensors Fault Diagnosis Trends and Applications written by Piotr Witczak and published by MDPI. This book was released on 2021-09-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.

Fault Detection, Supervision and Safety of Technical Processes 2006

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Publisher : Elsevier
ISBN 13 : 9780080555393
Total Pages : 1576 pages
Book Rating : 4.5/5 (553 download)

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Book Synopsis Fault Detection, Supervision and Safety of Technical Processes 2006 by : Hong-Yue Zhang

Download or read book Fault Detection, Supervision and Safety of Technical Processes 2006 written by Hong-Yue Zhang and published by Elsevier. This book was released on 2007-03-01 with total page 1576 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Fault Detection, Supervision and Safety for Technical Processes 1991

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Publisher : Elsevier
ISBN 13 : 1483299031
Total Pages : 638 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Fault Detection, Supervision and Safety for Technical Processes 1991 by : B. Freyermuth

Download or read book Fault Detection, Supervision and Safety for Technical Processes 1991 written by B. Freyermuth and published by Elsevier. This book was released on 2014-05-23 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: These Proceedings provide a general overview as well as detailed information on the developing field of reliability and safety of technical processes in automatically controlled processes. The plenary papers present the state-of-the-art and an overview in the areas of aircraft and nuclear power stations, because these safety-critical system domains possess the most highly developed fault management and supervision schemes. Additional plenary papers covered the recent developments in analytical redundancy. In total there are 95 papers presented in these Proceedings.

Artificial Neural Network Modelling

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Publisher : Springer
ISBN 13 : 3319284959
Total Pages : 472 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Artificial Neural Network Modelling by : Subana Shanmuganathan

Download or read book Artificial Neural Network Modelling written by Subana Shanmuganathan and published by Springer. This book was released on 2016-02-03 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.

Fault Detection, Supervision and Safety of Technical Processes 2003 (SAFEPROCESS 2003)

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Publisher : Elsevier
ISBN 13 : 9780080440118
Total Pages : 1210 pages
Book Rating : 4.4/5 (41 download)

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Book Synopsis Fault Detection, Supervision and Safety of Technical Processes 2003 (SAFEPROCESS 2003) by : Marcel Staroswiecki

Download or read book Fault Detection, Supervision and Safety of Technical Processes 2003 (SAFEPROCESS 2003) written by Marcel Staroswiecki and published by Elsevier. This book was released on 2004-02-27 with total page 1210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Self-Healing Systems and Wireless Networks Management

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Publisher : CRC Press
ISBN 13 : 1466556498
Total Pages : 182 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Self-Healing Systems and Wireless Networks Management by : Junaid Ahsenali Chaudhry

Download or read book Self-Healing Systems and Wireless Networks Management written by Junaid Ahsenali Chaudhry and published by CRC Press. This book was released on 2013-10-21 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you believe in open-source development? Would you like to see your security system grow and learn by itself? Are you sick of paying for software license fees every year that produce little return on investment? And, would you prefer to invest in something you could sell later on to other IT security departments? If you answered yes to these questions, then this is the book for you. Addressing the issues of fault identification and classification, Self-Healing Systems and Wireless Networks Management presents a method for identifying and classifying faults using causal reasoning—a powerful bottom up technique for deep surface and cross context correlation establishment. It explains how to employ a similarity matrix to match the user activity log and its pattern in a transformed space and discusses the development and deployment of a policy engine. The book describes how to use this self-growing policy engine in collaboration with a scheduler and plug-in bank to generate a healing policy. This healing policy presents the solution of the direct and causal fault. The author describes how to embed the solutions of the related faults in the healing policy so that if a client faces more faults related to the previous one, they can be addressed at the client side. Exploring prototype systems, the text defines supporting systems architectures and includes a case study of an autonomic healing-based self-management engine. It also explains how to fulfill the tasks in linear time, so that the increase in the source file size does not affect the performance of your system—making the system highly scalable for distributed self-healing systems. This book provides valuable guidance to help you build a self-growing, self -earning, self-healing system that, after development, learns for itself about the IT security vulnerabilities of your organization and fills the holes for future breach prevention.

Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

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Publisher : Springer Science & Business Media
ISBN 13 : 1447138295
Total Pages : 294 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by : Silvio Simani

Download or read book Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques written by Silvio Simani and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Hybrid Approach for Power Plant Fault Diagnostics

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Publisher : Springer
ISBN 13 : 3319718711
Total Pages : 283 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis A Hybrid Approach for Power Plant Fault Diagnostics by : Tamiru Alemu Lemma

Download or read book A Hybrid Approach for Power Plant Fault Diagnostics written by Tamiru Alemu Lemma and published by Springer. This book was released on 2017-12-30 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a hybrid approach to fault detection and diagnostics. It presents a detailed analysis related to practical applications of the fault detection and diagnostics framework, and highlights recent findings on power plant nonlinear model identification and fault diagnostics. The effectiveness of the methods presented is tested using data acquired from actual cogeneration and cooling plants (CCPs). The models presented were developed by applying Neuro-Fuzzy (NF) methods. The book offers a valuable resource for researchers and practicing engineers alike.

From Natural to Artificial Neural Computation

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540594970
Total Pages : 1182 pages
Book Rating : 4.5/5 (949 download)

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Book Synopsis From Natural to Artificial Neural Computation by : Jose Mira

Download or read book From Natural to Artificial Neural Computation written by Jose Mira and published by Springer Science & Business Media. This book was released on 1995-05-24 with total page 1182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the International Workshop on Artificial Neural Networks, IWANN '95, held in Torremolinos near Malaga, Spain in June 1995. The book contains 143 revised papers selected from a wealth of submissions and five invited contributions; it covers all current aspects of neural computation and presents the state of the art of ANN research and applications. The papers are organized in sections on neuroscience, computational models of neurons and neural nets, organization principles, learning, cognitive science and AI, neurosimulators, implementation, neural networks for perception, and neural networks for communication and control.

Soft Sensors for Monitoring and Control of Industrial Processes

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Publisher : Springer Science & Business Media
ISBN 13 : 1846284805
Total Pages : 284 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Soft Sensors for Monitoring and Control of Industrial Processes by : Luigi Fortuna

Download or read book Soft Sensors for Monitoring and Control of Industrial Processes written by Luigi Fortuna and published by Springer Science & Business Media. This book was released on 2007-05-31 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews current design paths for soft sensors, and guides readers in evaluating different choices. The book presents case studies resulting from collaborations between the authors and industrial partners. The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation.

Modeling, Design and Simulation of Systems

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Publisher : Springer
ISBN 13 : 9811064636
Total Pages : 727 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Modeling, Design and Simulation of Systems by : Mohamed Sultan Mohamed Ali

Download or read book Modeling, Design and Simulation of Systems written by Mohamed Sultan Mohamed Ali and published by Springer. This book was released on 2017-08-24 with total page 727 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set CCIS 751 and CCIS 752 constitutes the proceedings of the 17th Asia Simulation Conference, AsiaSim 2017, held in Malacca, Malaysia, in August/September 2017. The 124 revised full papers presented in this two-volume set were carefully reviewed and selected from 267 submissions. The papers contained in these proceedings address challenging issues in modeling and simulation in various fields such as embedded systems; symbiotic simulation; agent-based simulation; parallel and distributed simulation; high performance computing; biomedical engineering; big data; energy, society and economics; medical processes; simulation language and software; visualization; virtual reality; modeling and Simulation for IoT; machine learning; as well as the fundamentals and applications of computing.