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Fault Tolerant Control Based On Detection Diagnosis And Prognosis

Fault Tolerant Control Based on Detection  Diagnosis and Prognosis PDF
Author: Ahmad Hussain Taqi Al-Bayati
Publisher:
ISBN:
Size: 28.43 MB
Format: PDF
Category :
Languages : en
Pages :
View: 6211

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High maintenance costs and unwanted disruptions in industrial processes are caused by machine fault problems. To overcome this problem, an appropriate fault tolerant control (FTC) technique has been presented; while to avoid deterioration of the quality of production or sudden stop, prognosis of parameters changes (PPC) techniques have been studied and developed. This PhD work has therefore been motivated by the need to develop fault tolerant control techniques and enhance prognosis of parameter changes techniques. To get interesting results from linear and nonlinear model-based control, the studies complied with different faults and noises such as additive fault, white noise and non-Gaussian noise. Moreover, a new nonlinear observer has been designed to diagnose the fault and eliminate the Coriolis and centrifugal torque effect of robotic systems. The FTC technique includes fault detection, diagnoses, states estimations and reconfiguration of controller techniques; whereas the PPC techniques consist of fault detection, diagnosis, parameter estimation, filters for parameter changes and analysis techniques of parameter deviation from desirable values. In this work, a design of two linear and nonlinear observers has been achieved to diagnose the fault and estimate the states of the plant. Furthermore, model-based controllers have been introduced as part of the FTC technique. Thus, a novel signal reference output regulation controller and controllers via performance have been introduced. Indeed, the reconfiguration of controllers is an interesting part of fault tolerant control, and is a major area of focus in this thesis. At a glance, this thesis introduces different reconfiguration techniques. One approach has been designed to update the control laws while a second approach has been implemented to update the adaptive controller. An intelligent algorithm without observer has been developed based on the outputs error and other errors like Cartesian errors of position of robot. However, the intelligent reconfiguration has been implemented without observers because some systems as robots may need more time in the fault diagnosis stage. Two proposed nonlinear observers and a prognosis algorithm have been designed based on filter type FSISF, which is based on a hybrid Sequential Important Sampling and Fuzzy system technique. They have been designed to be sensitive and present a novel approach of predication in the presence of faults and noise. The two new nonlinear observers; nonlinear observer based on filtered output NOFO and nonlinear observer based on filtered dynamic estimated states NOFS; have been based on FSISF, whereas the observers have been introduced via the filtered output and estimated dynamic states respectively. In this thesis, Chi distribution and Gaussian distribution for the SIS technique and their parameters (variance and mean) can be tuned and varied. Additionally, the Fuzzy part of FSISF uses a centre of gravity type of Fuzzy rule. The Fuzzy set of the Fuzzy part has been defined based on the type of filter. The Fuzzy set of filters for the observers implies the output of the Fuzzy at a previous time sample, the diagnosed fault and the residual of the observer and plant. Thus, the Fuzzy set of the prognosis filter consists of the diagnosed fault, a parameter change and a parameter change of the previous batch. However, the prognosis technique consists of steps: it first identifies the immeasurable parameters using the online recursive least square technique and then filters by a set of prognosis filter based on hybrid Fuzzy and Important Sampling algorithm PSFISF after an appropriate threshold. Moreover, to get an idea about the effect of data history, the mean and maximum values at same sample through size of batches processes. The data have been calculated and saved in a memory. Furthermore, two approaches have then been used to analyse the data: Kernel Density Function and Minimum Entropy of the parameter changes. Indeed, the highest changes have been clearly pointed at the highest fault using the proposed two approaches. Finally, all proposed algorithms have been tested and simulated where interesting results have been achieved.

Diagnosis And Fault Tolerant Control

Diagnosis and Fault Tolerant Control PDF
Author: Mogens Blanke
Publisher: Springer Science & Business Media
ISBN: 3662053446
Size: 69.14 MB
Format: PDF
Category : Science
Languages : en
Pages : 571
View: 458

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This book presents model-based analysis and design methods for fault diagnosis and fault-tolerant control. Architectural and structural models are used to analyse the propagation of the fault through the process, test fault detectability and reveal redundancies that can be used to ensure fault tolerance. Case studies demonstrate the methods presented. The second edition includes new material on reconfigurable control, diagnosis of nonlinear systems, and remote diagnosis, plus new examples and updated bibliography.

Fault Detection Diagnosis And Prognosis

Fault Detection  Diagnosis and Prognosis PDF
Author: Fausto Pedro García Márquez
Publisher: BoD – Books on Demand
ISBN: 1789842131
Size: 44.55 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 176
View: 3766

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This book presents the main concepts, state of the art, advances, and case studies of fault detection, diagnosis, and prognosis. This topic is a critical variable in industry to reach and maintain competitiveness. Therefore, proper management of the corrective, predictive, and preventive politics in any industry is required. This book complements other subdisciplines such as economics, finance, marketing, decision and risk analysis, engineering, etc. The book presents real case studies in multiple disciplines. It considers the main topics using prognostic and subdiscipline techniques. It is essential to link these topics with the areas of finance, scheduling, resources, downtime, etc. to increase productivity, profitability, maintainability, reliability, safety, and availability, and reduce costs and downtime. Advances in mathematics, modeling, computational techniques, dynamic analysis, etc. are employed analytically. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support the analysis of prognostic problems with defined constraints and requirements. The book is intended for graduate students and professionals in industrial engineering, business administration, industrial organization, operations management, applied microeconomics, and the decisions sciences, either studying maintenance or needing to solve large, specific, and complex maintenance management problems as part of their jobs. The work will also be of interest to researches from academia.

Fault Diagnosis And Prognosis Techniques For Complex Engineering Systems

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems PDF
Author: Hamid Reza Karimi
Publisher: Elsevier
ISBN: 0128224738
Size: 77.49 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 419
View: 5099

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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets of envisaging, designing, implementing, and experimentally exploring emerging trends in fault diagnosis and failure prognosis in mechanical, electrical, hydraulic and biomedical systems. The book is devoted to the development of mathematical methodologies for fault diagnosis and isolation, fault tolerant control, and failure prognosis problems of engineering systems. Sections present new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and fault tolerant control of engineering systems. Sections focus on the development of mathematical methodologies for diagnosis and prognosis of faults or failures, providing a unified platform for understanding and applicability of advanced diagnosis and prognosis methodologies for improving reliability purposes in both theory and practice, such as vehicles, manufacturing systems, circuits, flights, biomedical systems. This book will be a valuable resource for different groups of readers - mechanical engineers working on vehicle systems, electrical engineers working on rotary machinery systems, control engineers working on fault detection systems, mathematicians and physician working on complex dynamics, and many more. Presents recent advances of theory, technological aspects, and applications of advanced diagnosis and prognosis methodologies in engineering applications Provides a series of the latest results, including fault detection, isolation, fault tolerant control, failure prognosis of components, and more Gives numerical and simulation results in each chapter to reflect engineering practices

Bond Graph Modelling For Control Fault Diagnosis And Failure Prognosis

Bond Graph Modelling for Control  Fault Diagnosis and Failure Prognosis PDF
Author: Wolfgang Borutzky
Publisher: Springer Nature
ISBN: 3030609677
Size: 18.28 MB
Format: PDF, ePub
Category : Technology & Engineering
Languages : en
Pages : 317
View: 3336

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This book shows in a comprehensive presentation how Bond Graph methodology can support model-based control, model-based fault diagnosis, fault accommodation, and failure prognosis by reviewing the state-of-the-art, presenting a hybrid integrated approach to Bond Graph model-based fault diagnosis and failure prognosis, and by providing a review of software that can be used for these tasks. The structured text illustrates on numerous small examples how the computational structure superimposed on an acausal bond graph can be exploited to check for control properties such as structural observability and control lability, perform parameter estimation and fault detection and isolation, provide discrete values of an unknown degradation trend at sample points, and develop an inverse model for fault accommodation. The comprehensive presentation also covers failure prognosis based on continuous state estimation by means of filters or time series forecasting. This book has been written for students specializing in the overlap of engineering and computer science as well as for researchers, and for engineers in industry working with modelling, simulation, control, fault diagnosis, and failure prognosis in various application fields and who might be interested to see how bond graph modelling can support their work. Presents a hybrid model-based, data-driven approach to failure prognosis Highlights synergies and relations between fault diagnosis and failure prognostic Discusses the importance of fault diagnosis and failure prognostic in various fields

Fault Diagnosis And Prognosis Techniques For Complex Engineering Systems

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems PDF
Author: Hamid Reza Karimi
Publisher: Academic Press
ISBN: 0128224886
Size: 53.12 MB
Format: PDF, Kindle
Category : Technology & Engineering
Languages : en
Pages : 419
View: 4662

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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets of envisaging, designing, implementing, and experimentally exploring emerging trends in fault diagnosis and failure prognosis in mechanical, electrical, hydraulic and biomedical systems. The book is devoted to the development of mathematical methodologies for fault diagnosis and isolation, fault tolerant control, and failure prognosis problems of engineering systems. Sections present new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and fault tolerant control of engineering systems. Sections focus on the development of mathematical methodologies for diagnosis and prognosis of faults or failures, providing a unified platform for understanding and applicability of advanced diagnosis and prognosis methodologies for improving reliability purposes in both theory and practice, such as vehicles, manufacturing systems, circuits, flights, biomedical systems. This book will be a valuable resource for different groups of readers – mechanical engineers working on vehicle systems, electrical engineers working on rotary machinery systems, control engineers working on fault detection systems, mathematicians and physician working on complex dynamics, and many more. Presents recent advances of theory, technological aspects, and applications of advanced diagnosis and prognosis methodologies in engineering applications Provides a series of the latest results, including fault detection, isolation, fault tolerant control, failure prognosis of components, and more Gives numerical and simulation results in each chapter to reflect engineering practices

Fault Diagnosis Systems

Fault Diagnosis Systems PDF
Author: Rolf Isermann
Publisher: Springer Science & Business Media
ISBN: 9783540303688
Size: 54.85 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 475
View: 745

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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.

Fault Diagnosis And Fault Tolerant Control And Guidance For Aerospace Vehicles

Fault Diagnosis and Fault Tolerant Control and Guidance for Aerospace Vehicles PDF
Author: Ali Zolghadri
Publisher: Springer Science & Business Media
ISBN: 1447153138
Size: 66.76 MB
Format: PDF, ePub
Category : Technology & Engineering
Languages : en
Pages : 216
View: 5482

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Fault Diagnosis and Fault-Tolerant Control and Guidance for Aerospace demonstrates the attractive potential of recent developments in control for resolving such issues as flight performance, self protection and extended-life structures. Importantly, the text deals with a number of practically significant considerations: tuning, complexity of design, real-time capability, evaluation of worst-case performance, robustness in harsh environments, and extensibility when development or adaptation is required. Coverage of such issues helps to draw the advanced concepts arising from academic research back towards the technological concerns of industry. Initial coverage of basic definitions and ideas and a literature review gives way to a treatment of electrical flight control system failures: oscillatory failure, runaway, and jamming. Advanced fault detection and diagnosis for linear and linear-parameter-varying systems are described. Lastly recovery strategies appropriate to remaining actuator/sensor/communications resources are developed. The authors exploit experience gained in research collaboration with academic and major industrial partners to validate advanced fault diagnosis and fault-tolerant control techniques with realistic benchmarks or real-world aeronautical and space systems. Consequently, the results presented in Fault Diagnosis and Fault-Tolerant Control and Guidance for Aerospace, will be of interest in both academic and aerospatial-industrial milieux.

Fault Tolerant Control Systems

Fault tolerant Control Systems PDF
Author: Hassan Noura
Publisher: Springer Science & Business Media
ISBN: 1848826532
Size: 15.22 MB
Format: PDF, Docs
Category : Technology & Engineering
Languages : en
Pages : 233
View: 796

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The seriesAdvancesinIndustrialControl aims to report and encourage te- nologytransfer in controlengineering. The rapid development of controlte- nology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies. . . , new challenges. Much of this devel- ment work resides in industrial reports, feasibility study papers, and the - ports of advanced collaborative projects. The series o?ers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Control system design and technology continues to develop in many d- ferent directions. One theme that the Advances in Industrial Control series is following is the application of nonlinear control design methods, and the series has some interesting new commissions in progress. However, another theme of interest is how to endow the industrial controller with the ability to overcome faults and process degradation. Fault detection and isolation is a broad ?eld with a research literature spanning several decades. This topic deals with three questions: • How is the presence of a fault detected? • What is the cause of the fault? • Where is it located? However, there has been less focus on the question of how to use the control system to accommodate and overcome the performance deterioration caused by the identi?ed sensor or actuator fault.

Bond Graphs For Modelling Control And Fault Diagnosis Of Engineering Systems

Bond Graphs for Modelling  Control and Fault Diagnosis of Engineering Systems PDF
Author: Wolfgang Borutzky
Publisher: Springer
ISBN: 3319474340
Size: 76.24 MB
Format: PDF
Category : Technology & Engineering
Languages : en
Pages : 679
View: 3986

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This book presents theory and latest application work in Bond Graph methodology with a focus on: • Hybrid dynamical system models, • Model-based fault diagnosis, model-based fault tolerant control, fault prognosis • and also addresses • Open thermodynamic systems with compressible fluid flow, • Distributed parameter models of mechanical subsystems. In addition, the book covers various applications of current interest ranging from motorised wheelchairs, in-vivo surgery robots, walking machines to wind-turbines.The up-to-date presentation has been made possible by experts who are active members of the worldwide bond graph modelling community. This book is the completely revised 2nd edition of the 2011 Springer compilation text titled Bond Graph Modelling of Engineering Systems – Theory, Applications and Software Support. It extends the presentation of theory and applications of graph methodology by new developments and latest research results. Like the first edition, this book addresses readers in academia as well as practitioners in industry and invites experts in related fields to consider the potential and the state-of-the-art of bond graph modelling.

2019 Caa Symposium On Fault Detection Supervision And Safety For Technical Processes Safeprocess

2019 CAA Symposium on Fault Detection  Supervision and Safety for Technical Processes  SAFEPROCESS  PDF
Author: IEEE Staff
Publisher:
ISBN: 9781728106823
Size: 38.54 MB
Format: PDF
Category :
Languages : en
Pages :
View: 2476

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The symposium provides an up to date and comprehensive picture of safety methods and techniques, with a wide coverage of application fields Topics of interests include but are not limited to Model based diagnosis of linear, nonlinear and hybrid systems Data driven diagnosis methods Fault tolerant control, control reconfiguration Process supervision Active fault diagnosis methods Condition monitoring, maintenance engineering Prognosis Diagnosis and fault tolerant control of discrete event systems Statistical methods for fault diagnosis Statistical methods for reliability and safety Interval methods, numerical methods Neural and fuzzy methods Structural methods of fault diagnosis and fault tolerant control Artificial Intelligence methods for fault diagnosis Safety critical systems Structural Health Monitoring

Applications Of Intelligent Control To Engineering Systems

Applications of Intelligent Control to Engineering Systems PDF
Author: Kimon P. Valavanis
Publisher: Springer Science & Business Media
ISBN: 9048130174
Size: 53.25 MB
Format: PDF, ePub
Category : Technology & Engineering
Languages : en
Pages : 426
View: 1051

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This book reflects the work of top scientists in the field of intelligent control and its applications, prognostics, diagnostics, condition based maintenance and unmanned systems. It includes results, and presents how theory is applied to solve real problems.

Prognostics And Health Management Of Electronics

Prognostics and Health Management of Electronics PDF
Author: Michael G. Pecht
Publisher: John Wiley & Sons
ISBN: 0470385839
Size: 57.25 MB
Format: PDF, Docs
Category : Technology & Engineering
Languages : en
Pages : 300
View: 1225

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The first book on Prognostics and Health Management of Electronics Recently, the field of prognostics for electronic products has received increased attention due to the potential to provide early warning of system failures, forecast maintenance as needed, and reduce life cycle costs. In response to the subject's growing interest among industry, government, and academic professionals, this book provides a road map to the current challenges and opportunities for research and development in Prognostics and Health Management (PHM). The book begins with a review of PHM and the techniques being developed to enable a prognostics approach for electronic products and systems. building on this foundation, the book then presents the state of the art in sensor systems for in-situ health and usage monitoring. Next, it discusses the various models and algorithms that can be utilized in PHM. Finally, it concludes with a discussion of the opportunities in future research. Readers can use the information in this book to: Detect and isolate faults Reduce the occurrence of No Fault Found (NFF) Provide advanced warning of system failures Enable condition-based (predictive) maintenance Obtain knowledge of load history for future design, qualification, and root cause analysis Increase system availability through an extension of maintenance cycles and/or timely repair actions Subtract life cycle costs of equipment from reduction in inspection costs, down time, and inventory Prognostics and Health Management of Electronics is an indispensable reference for electrical engineers in manufacturing, systems maintenance, and management, as well as design engineers in all areas of electronics.

Fault Detection Supervision And Safety Of Technical Processes 2003 Safeprocess 2003

Fault Detection  Supervision and Safety of Technical Processes 2003  SAFEPROCESS 2003  PDF
Author: Marcel Staroswiecki
Publisher: Elsevier
ISBN: 9780080440118
Size: 25.74 MB
Format: PDF
Category : Science
Languages : en
Pages : 1204
View: 5987

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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.

Reliability And Statistics In Transportation And Communication

Reliability and Statistics in Transportation and Communication PDF
Author: Igor Kabashkin
Publisher: Springer Nature
ISBN: 3030446107
Size: 45.39 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 717
View: 3521

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This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place in Riga, Latvia on October 16 – 19, 2019. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.