Artificial Neural Networks For The Modelling And Fault Diagnosis Of Technical Processes

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

Author : Krzysztof Patan
Publisher : Springer
Page : 206 pages
File Size : 43,8 Mb
Release : 2009-08-29
Category : Technology & Engineering
ISBN : 3540872809

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Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes by Krzysztof Patan Pdf

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.

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

Author : Krzysztof Patan
Publisher : Springer Science & Business Media
Page : 223 pages
File Size : 52,5 Mb
Release : 2008-06-24
Category : Technology & Engineering
ISBN : 9783540798712

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Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes by Krzysztof Patan Pdf

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.

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

Author : Krzysztof Patan
Publisher : Springer
Page : 206 pages
File Size : 46,6 Mb
Release : 2008-06-11
Category : Technology & Engineering
ISBN : 9783540798729

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Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes by Krzysztof Patan Pdf

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

Author : Józef Korbicz,Jan M. Koscielny,Zdzislaw Kowalczuk,Wojciech Cholewa
Publisher : Springer Science & Business Media
Page : 922 pages
File Size : 52,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642186158

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Fault Diagnosis by Józef Korbicz,Jan M. Koscielny,Zdzislaw Kowalczuk,Wojciech Cholewa Pdf

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.

Robust and Fault-Tolerant Control

Author : Krzysztof Patan
Publisher : Springer
Page : 209 pages
File Size : 48,5 Mb
Release : 2019-03-16
Category : Technology & Engineering
ISBN : 9783030118693

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Robust and Fault-Tolerant Control by Krzysztof Patan Pdf

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

Author : Józef Korbicz,Jan M. Koscielny
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 42,5 Mb
Release : 2010-11-19
Category : Technology & Engineering
ISBN : 9783642166532

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Modeling, Diagnostics and Process Control by Józef Korbicz,Jan M. Koscielny Pdf

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

Author : Piotr Witczak
Publisher : MDPI
Page : 236 pages
File Size : 48,9 Mb
Release : 2021-09-01
Category : Technology & Engineering
ISBN : 9783036510484

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Sensors Fault Diagnosis Trends and Applications by Piotr Witczak Pdf

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

Author : Hong-Yue Zhang
Publisher : Elsevier
Page : 1576 pages
File Size : 48,5 Mb
Release : 2007-03-01
Category : Science
ISBN : 008055539X

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Fault Detection, Supervision and Safety of Technical Processes 2006 by Hong-Yue Zhang Pdf

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

Author : B. Freyermuth,R. Isermann
Publisher : Elsevier
Page : 638 pages
File Size : 49,7 Mb
Release : 2014-05-23
Category : Technology & Engineering
ISBN : 9781483299037

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Fault Detection, Supervision and Safety for Technical Processes 1991 by B. Freyermuth,R. Isermann Pdf

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.

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

Author : Marcel Staroswiecki,Eva Wu
Publisher : Elsevier
Page : 1210 pages
File Size : 49,6 Mb
Release : 2004-02-27
Category : Science
ISBN : 0080440118

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Fault Detection, Supervision and Safety of Technical Processes 2003 (SAFEPROCESS 2003) by Marcel Staroswiecki,Eva Wu Pdf

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.

Fault-Diagnosis Systems

Author : Rolf Isermann
Publisher : Springer Science & Business Media
Page : 475 pages
File Size : 40,8 Mb
Release : 2006-01-16
Category : Technology & Engineering
ISBN : 9783540303688

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Fault-Diagnosis Systems by Rolf Isermann Pdf

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.

Self-Healing Systems and Wireless Networks Management

Author : Junaid Ahsenali Chaudhry
Publisher : CRC Press
Page : 182 pages
File Size : 42,7 Mb
Release : 2013-10-21
Category : Technology & Engineering
ISBN : 9781466556492

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Self-Healing Systems and Wireless Networks Management by Junaid Ahsenali Chaudhry Pdf

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

Author : Silvio Simani,Cesare Fantuzzi,Ron J. Patton
Publisher : Springer Science & Business Media
Page : 294 pages
File Size : 40,8 Mb
Release : 2013-11-11
Category : Technology & Engineering
ISBN : 9781447138297

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Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by Silvio Simani,Cesare Fantuzzi,Ron J. Patton Pdf

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

Author : Tamiru Alemu Lemma
Publisher : Springer
Page : 283 pages
File Size : 43,8 Mb
Release : 2017-12-30
Category : Technology & Engineering
ISBN : 9783319718712

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A Hybrid Approach for Power Plant Fault Diagnostics by Tamiru Alemu Lemma Pdf

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

Author : Jose Mira,Francisco Sandoval
Publisher : Springer Science & Business Media
Page : 1182 pages
File Size : 52,5 Mb
Release : 1995-05-24
Category : Computers
ISBN : 3540594973

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From Natural to Artificial Neural Computation by Jose Mira,Francisco Sandoval Pdf

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.