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Fault Detection And Diagnosis In Industrial Systems


Fault Detection And Diagnosis In Industrial Systems
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Fault Detection And Diagnosis In Industrial Systems


Fault Detection And Diagnosis In Industrial Systems
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Author : L.H. Chiang
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-12-11

Fault Detection And Diagnosis In Industrial Systems written by L.H. Chiang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-12-11 with Technology & Engineering categories.


Early and accurate fault detection and diagnosis for modern chemical plants can minimize downtime, increase the safety of plant operations, and reduce manufacturing costs. This book presents the theoretical background and practical techniques for data-driven process monitoring. It demonstrates the application of all the data-driven process monitoring techniques to the Tennessee Eastman plant simulator, and looks at the strengths and weaknesses of each approach in detail. A plant simulator and problems allow readers to apply process monitoring techniques.



Fault Detection And Diagnosis In Industrial Systems


Fault Detection And Diagnosis In Industrial Systems
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Author : L.H. Chiang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Fault Detection And Diagnosis In Industrial Systems written by L.H. Chiang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


Early and accurate fault detection and diagnosis for modern chemical plants can minimise downtime, increase the safety of plant operations, and reduce manufacturing costs. The process monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of the book is to present the theoretical background and practical techniques for data-driven process monitoring. Process monitoring techniques presented include: Data-driven methods - principal component analysis, Fisher discriminant analysis, partial least squares and canonical variate analysis; Analytical Methods - parameter estimation, observer-based methods and parity relations; Knowledge-based methods - causal analysis, expert systems and pattern recognition. The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator - demonstrating the strengths and weaknesses of each approach in detail. This aids the reader in selecting the right method for his process application. Plant simulator and homework problems in which students apply the process monitoring techniques to a non-trivial simulated process, and can compare their performance with that obtained in the case studies in the text are included. A number of additional homework problems encourage the reader to implement and obtain a deeper understanding of the techniques. The reader will obtain a background in data-driven techniques for fault detection and diagnosis, including the ability to implement the techniques and to know how to select the right technique for a particular application.



Fault Detection And Diagnosis In Industrial Systems


Fault Detection And Diagnosis In Industrial Systems
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Author : L. H. Chiang
language : en
Publisher:
Release Date : 2001-01-01

Fault Detection And Diagnosis In Industrial Systems written by L. H. Chiang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-01-01 with categories.




Fault Diagnosis In Robotic And Industrial Systems


Fault Diagnosis In Robotic And Industrial Systems
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Author : Gerasimos G. Rigatos
language : en
Publisher: Createspace Independent Pub
Release Date : 2012-11-01

Fault Diagnosis In Robotic And Industrial Systems written by Gerasimos G. Rigatos and has been published by Createspace Independent Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-01 with Technology & Engineering categories.


Fault detection and isolation is an important topic for researchers in the area of robotics and for industrial systems engineers. The need for a systematic method that will permit preventive maintenance through the diagnosis of incipient faults is obvious. At the same time it is desirable to reduce the false alarms rate so as to avoid unnecessary and costly interruptions of industrial processes and robotic tasks. The proposed book aims at analyzing recent advances in the area of fault diagnosis for robotic and industrial systems. There are totally 9 chapters in this book. Chapter 1 deals with supervision for the safe navigation of autonomous robots in a natural environment. Fault diagnosis and natural environment perception are used at different levels within a supervisor architecture and real operation is demonstrated on an autonomous tractor driving in an orchard. Chapter 2 gives an introduction to fault tolerant sensor systems which is based on the Failure Modes and Effects Analysis (FMEA) method. Chapter 3 aims at analyzing and implementing new solutions for the problem of distributed estimation for condition monitoring of nonlinear dynamical systems (e.g. automatic ground vehicles, unmanned surface or underwater vessels and unmanned aerial vehicles), so as to enable early detection of faults and the take up of efficient restoration measures. To this end, the development of distributed nonlinear state estimation and distributed fault detection and isolation (FDI) tools is proposed. Chapter 4 proposes so-called logic-dynamic approach for fault diagnosis in industrial systems described by nonlinear dynamic models with non-differentiable nonlinearities. The approach allows solving the problem of fault diagnosis is nonlinear systems using well-known linear methods. In Chapter 5, observer design for nonlinear systems described by a Takagi-Sugeno model with unmeasurable premise variables is proposed. Furthermore, a fault tolerant controller is proposed for such a system in order to preserve some performances of the system by trajectory tracking in faulty situations. Chapter 6 explains and demonstrates the utilization of different nonlinear-dynamics-based procedures for the purposes of structural health monitoring as well as for monitoring of robot joints based on Vibration-based Health Monitoring (VHM) methods In Chapter 7, vibrations picked from spalled defective rolling element bearings is presented. It uses a four stage processing algorithm to detect and diagnose the defective component in rolling element. In Chapter 8, the problem of fault diagnosis with parity equations is considered for nonlinear dynamic systems whose models are taken in the form of ordinary differential equations. The active and passive approaches are involved to achieve the robustness of the diagnostic procedure Finally, Chapter 9 proposes a graphical method for diagnosis of nonlinear systems. The proposed method is based on a 2D signature obtained by measurements projection over some moving time-window. This projection highlights what happens inside the system and enables the diagnosis of abnormal behaviors. This book is suitable for advanced undergraduate students and postgraduate students. It takes a practical approach rather than a conceptual approach. It offers a truly reader-friendly way to get to the subject related to the semantic web, making it the ideal resources for any student who is new to this subject and providing a definitive guide to anyone in this vibrant and evolving discipline. This book is an invaluable companion for students from their first encounter with the subject to more advanced studies, while the high quality artworks are designed to present the key concepts with simplicity, clarity and consistency.



Computational Intelligence


Computational Intelligence
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Author : De-Shuang Huang
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-04

Computational Intelligence written by De-Shuang Huang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-04 with Computers categories.


This is the proceedings of the International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 2006. The book presents 165 revised full papers, carefully chosen and reviewed, organized in topical sections on fuzzy systems, fuzzy-neuro-evolutionary hybrids, supervised, unsupervised and reinforcement learning, intelligent agent and Web applications, intelligent fault diagnosis, natural language processing and expert systems, natural language human-machine interface using artificial neural networks, and intelligent financial engineering.



Fault Detection


Fault Detection
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Author : Fausto Pedro García Márquez
language : en
Publisher: Nova Science Publishers
Release Date : 2014-02-11

Fault Detection written by Fausto Pedro García Márquez and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-11 with Defects categories.


This book synthesises the principles of fault detection with a focus on interfaces between the main disciplines of methods/technologies and industrial systems. It is complementary to other sub-disciplines such as maintenance, engineering, safety, risk analysis, etc. This book is intended for engineers, economists, technical consultants, researchers, etc. who are involved in the advancement of fault detection, and for those who incorporate fault detection in their work. The authors of this volume describe their pioneering work in the area and provide material from case studies that successfully applied the fault detection discipline in real life cases. Some topics discussed include condition monitoring of wind turbines; induction motor fault detection based on vibration analysis and support vector machines; failure detection and accommodation approaches for the airspeed sensor on a small UAV; and model-based fault diagnosis for industrial mobile robots.



Industrial Intelligent Control


Industrial Intelligent Control
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Author : Yong-Zai Lu
language : en
Publisher: John Wiley & Sons
Release Date : 1996-05-01

Industrial Intelligent Control written by Yong-Zai Lu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-05-01 with Science categories.


With a strong emphasis on applications of intelligent control, this extremely accessible book covers the fundamentals, methodologies, architectures and algorithms of automatic control systems. The author summarizes several current concepts to improve industrial control systems, combining classical control techniques of dynamic modeling and control with new approaches discussed in the text. Addresses such intelligent systems as neural networks, fuzzy logic, ruled based, and genetic algorithms. Demonstrates how to develop, design and use intelligent systems to solve sophisticated industrial control problems. Includes numerous worked application examples.



Identification And Fault Diagnosis Of Industrial Closed Loop Discrete Event Systems


Identification And Fault Diagnosis Of Industrial Closed Loop Discrete Event Systems
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Author : Matthias Roth
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2010

Identification And Fault Diagnosis Of Industrial Closed Loop Discrete Event Systems written by Matthias Roth and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Technology & Engineering categories.


Die Wettbewerbsfahigkeit von Industrieunternehmen hangt massgeblich von der Produktivitat der eingesetzten Anlagen und Produktionsprozesse ab. Um ein hohes Mass an Produktivitat zu garantieren, mussen durch Fehler verursachte Standzeiten so kurz wir moglich gehalten werden. Dazu werden effiziente Methoden zur Fehlerdiagnose benotigt. In der vorliegenden Arbeit wurde ein modellbasiertes Diagnose-Verfahren fur ereignisdiskrete Closed-Loop Systeme entwickelt. Die betrachteten Systeme bestehen aus dem geschlossenen Kreis von Steuerung und Prozess. Durch den systematischen Vergleich von aktuell beobachtetem und durch ein Systemmodell erwartetem Verhalten konnen Fehler in Echtzeit erkannt und isoliert werden. In der Arbeit wurden geeignete Modellidentifikationsverfahren fur Ereignisdiskrete Systeme entwickelt, sodass die aufwandige manuelle Modellbildung vermieden wird. Die entwickelten Methoden wurden im Labor und im Rahmen einer Industrieanwendung erfolgreich getestet.



Proceedings Of The Ieee International Conference On Industrial Technology Icit


Proceedings Of The Ieee International Conference On Industrial Technology Icit
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Author :
language : en
Publisher:
Release Date : 2002

Proceedings Of The Ieee International Conference On Industrial Technology Icit written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Industrial electronics categories.




Soft Sensors For Monitoring And Control Of Industrial Processes


Soft Sensors For Monitoring And Control Of Industrial Processes
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Author : Luigi Fortuna
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-31

Soft Sensors For Monitoring And Control Of Industrial Processes written by Luigi Fortuna and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-31 with Technology & Engineering categories.


focussed on the key steps in soft sensor design: data selection; model structure selection and model validation, respectively. Extensions to the basic steps of soft sensor design, namely soft sensor performance enhancement and the modifications needed to facilitate different industrial process applications follow in Chapter 7 and 8, respectively. Widening the applications range and role of soft sensors to fault detection and sensor validation configurations is dealt with in Chapter 9. A great strength of Soft Sensors for Monitoring and Control of Industrial Processes is the use, throughout the text, of a set of industrial case studies to demonstrate the successes and drawbacks of the different methods used to create soft sensor models. A number of different methods may be used in each separate step of the soft sensor design process and the industrial case studies are often used to provide explicit comparisons of the performance of these methods. The industrial control and process engineer will find these comparison exercises invaluable illustrations of the sort of results that might be found in industrial applications. The monograph also highlights the importance of using knowledge from industrial experts and from the existing industrial process literature. This is an important aspect of industrial control that is not very widely acknowledged or taught in control courses. Most industrial processes have already generated a significant experimental knowledge base and the control engineer should develop ways of tapping into this valuable resource when designing industrial control schemes.