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

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


  • Author : Krzysztof Patan
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-06-24
  • Genre: Technology & Engineering
  • Pages : 206
  • ISBN 10 : 9783540798712

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

Modeling  Diagnostics and Process Control Book

Modeling Diagnostics and Process Control


  • Author : Józef Korbicz
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-11-19
  • Genre: Technology & Engineering
  • Pages : 384
  • ISBN 10 : 9783642166532

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Modeling Diagnostics and Process Control 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.

Sensors Fault Diagnosis Trends and Applications Book

Sensors Fault Diagnosis Trends and Applications


  • Author : Piotr Witczak
  • Publisher : MDPI
  • Release Date : 2021-09-01
  • Genre: Technology & Engineering
  • Pages : 236
  • ISBN 10 : 9783036510484

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Sensors Fault Diagnosis Trends and Applications 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.

Robust and Fault Tolerant Control Book

Robust and Fault Tolerant Control


  • Author : Krzysztof Patan
  • Publisher : Springer
  • Release Date : 2019-03-16
  • Genre: Technology & Engineering
  • Pages : 209
  • ISBN 10 : 9783030118693

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Robust and Fault Tolerant Control 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.

Fault Detection  Supervision and Safety for Technical Processes 1991 Book

Fault Detection Supervision and Safety for Technical Processes 1991


  • Author : B. Freyermuth
  • Publisher : Elsevier
  • Release Date : 2014-05-23
  • Genre: Technology & Engineering
  • Pages : 638
  • ISBN 10 : 9781483299037

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Fault Detection Supervision and Safety for Technical Processes 1991 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 Networks     ICANN 2009 Book

Artificial Neural Networks ICANN 2009


  • Author : Cesare Alippi
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-09-03
  • Genre: Computers
  • Pages : 1030
  • ISBN 10 : 9783642042737

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Artificial Neural Networks ICANN 2009 Excerpt :

This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc.

Diagnosis and Fault tolerant Control Volume 2 Book

Diagnosis and Fault tolerant Control Volume 2


  • Author : Vicenc Puig
  • Publisher : John Wiley & Sons
  • Release Date : 2021-11-30
  • Genre: Computers
  • Pages : 288
  • ISBN 10 : 9781119882343

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Diagnosis and Fault tolerant Control Volume 2 Excerpt :

This book presents recent advances in fault diagnosis and fault-tolerant control of dynamic processes. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique and sustainable control, especially for those demanding systems that require reliability, availability, maintainability, and safety to ensure efficient operations. Moreover, the need for a high degree of tolerance with respect to possible faults represents a further key point, primarily for complex systems, as modeling and control are inherently challenging, and maintenance is both expensive and safety-critical. Diagnosis and Fault-tolerant Control 2 also presents and compares different fault diagnosis and fault-tolerant schemes, using well established, innovative strategies for modeling the behavior of the dynamic process under investigation. An updated treatise of diagnosis and fault-tolerant control is addressed with the use of essential and advanced methods including signal-based, model-based and data-driven techniques. Another key feature is the application of these methods for dealing with robustness and reliability.

Automatic Control  Robotics  and Information Processing Book

Automatic Control Robotics and Information Processing


  • Author : Piotr Kulczycki
  • Publisher : Springer Nature
  • Release Date : 2020-09-03
  • Genre: Technology & Engineering
  • Pages : 843
  • ISBN 10 : 9783030485870

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Automatic Control Robotics and Information Processing Excerpt :

This book presents a wide and comprehensive range of issues and problems in various fields of science and engineering, from both theoretical and applied perspectives. The desire to develop more effective and efficient tools and techniques for dealing with complex processes and systems has been a natural inspiration for the emergence of numerous fields of science and technology, in particular control and automation and, more recently, robotics. The contributions gathered here concern the development of methods and algorithms to determine best practices regarding broadly perceived decisions or controls. From an engineering standpoint, many of them focus on how to automate a specific process or complex system. From a tools-based perspective, several contributions address the development of analytic and algorithmic methods and techniques, devices and systems that make it possible to develop and subsequently implement the automation and robotization of crucial areas of human activity. All topics discussed are illustrated with sample applications.

Artificial Neural Networks   ICANN 2010 Book

Artificial Neural Networks ICANN 2010


  • Author : Konstantinos Diamantaras
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-09-03
  • Genre: Computers
  • Pages : 543
  • ISBN 10 : 9783642158216

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Artificial Neural Networks ICANN 2010 Excerpt :

This three volume set LNCS 6352, LNCS 6353, and LNCS 6354 constitutes the refereed proceedings of the 20th International Conference on Artificial Neural Networks, ICANN 2010, held in Thessaloniki, Greece, in September 2010. The 102 revised full papers, 68 short papers and 29 posters presented were carefully reviewed and selected from 241 submissions. The second volume is divided in topical sections on Kernel algorithms – support vector machines, knowledge engineering and decision making, recurrent ANN, reinforcement learning, robotics, self organizing ANN, adaptive algorithms – systems, and optimization.

Fault Detection  Supervision and Safety of Technical Processes 2006 Book

Fault Detection Supervision and Safety of Technical Processes 2006


  • Author : Hong-Yue Zhang
  • Publisher : Elsevier
  • Release Date : 2007-03-01
  • Genre: Science
  • Pages : 1576
  • ISBN 10 : 008055539X

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Fault Detection Supervision and Safety of Technical Processes 2006 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

Artificial Intelligence and Soft Computing Book

Artificial Intelligence and Soft Computing


  • Author : Leszek Rutkowski
  • Publisher : Springer
  • Release Date : 2012-04-17
  • Genre: Computers
  • Pages : 720
  • ISBN 10 : 9783642293504

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Artificial Intelligence and Soft Computing Excerpt :

The two-volume set LNAI 7267 and 7268 (together with LNCS 7269 ) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/ May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence.

Mathematical Modeling and Computational Intelligence in Engineering Applications Book
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From 1 Ratings

Mathematical Modeling and Computational Intelligence in Engineering Applications


  • Author : Antônio José da Silva Neto
  • Publisher : Springer
  • Release Date : 2016-08-12
  • Genre: Mathematics
  • Pages : 179
  • ISBN 10 : 9783319388694

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Mathematical Modeling and Computational Intelligence in Engineering Applications Excerpt :

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

Fault Detection  Supervision and Safety of Technical Processes 2003  SAFEPROCESS 2003  Book

Fault Detection Supervision and Safety of Technical Processes 2003 SAFEPROCESS 2003


  • Author : Marcel Staroswiecki
  • Publisher : Elsevier
  • Release Date : 2004-03-12
  • Genre: Science
  • Pages : 1204
  • ISBN 10 : 0080440118

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Fault Detection Supervision and Safety of Technical Processes 2003 SAFEPROCESS 2003 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.

Monitoring Multimode Continuous Processes Book

Monitoring Multimode Continuous Processes


  • Author : Marcos Quiñones-Grueiro
  • Publisher : Springer Nature
  • Release Date : 2020-08-04
  • Genre: Technology & Engineering
  • Pages : 153
  • ISBN 10 : 9783030547387

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Monitoring Multimode Continuous Processes Excerpt :

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

Advanced Neural Network Based Computational Schemes for Robust Fault Diagnosis Book

Advanced Neural Network Based Computational Schemes for Robust Fault Diagnosis


  • Author : Marcin Mrugalski
  • Publisher : Springer
  • Release Date : 2013-08-04
  • Genre: Technology & Engineering
  • Pages : 182
  • ISBN 10 : 9783319015477

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Advanced Neural Network Based Computational Schemes for Robust Fault Diagnosis 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.