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This book provides recent theoretical developments in and practical applications of fault diagnosis and fault tolerant control for complex dynamical systems, including uncertain systems, linear and nonlinear systems. Combining adaptive control technique with other control methodologies, it investigates the problems of fault diagnosis and fault tolerant control for uncertain dynamic systems with or without time delay. As such, the book provides readers a solid understanding of fault diagnosis and fault tolerant control based on adaptive control technology. Given its depth and breadth, it is well suited for undergraduate and graduate courses on linear system theory, nonlinear system theory, fault diagnosis and fault tolerant control techniques. Further, it can be used as a reference source for academic research on fault diagnosis and fault tolerant control, and for postgraduates in the field of control theory and engineering.
Book Synopsis Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach by : Qikun Shen
Download or read book Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach written by Qikun Shen and published by Springer. This book was released on 2017-02-14 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides recent theoretical developments in and practical applications of fault diagnosis and fault tolerant control for complex dynamical systems, including uncertain systems, linear and nonlinear systems. Combining adaptive control technique with other control methodologies, it investigates the problems of fault diagnosis and fault tolerant control for uncertain dynamic systems with or without time delay. As such, the book provides readers a solid understanding of fault diagnosis and fault tolerant control based on adaptive control technology. Given its depth and breadth, it is well suited for undergraduate and graduate courses on linear system theory, nonlinear system theory, fault diagnosis and fault tolerant control techniques. Further, it can be used as a reference source for academic research on fault diagnosis and fault tolerant control, and for postgraduates in the field of control theory and engineering.
This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models. This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.
Book Synopsis Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems by : Marcin Witczak
Download or read book Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems written by Marcin Witczak and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models. This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.
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.
Book Synopsis Diagnosis and Fault-tolerant Control Volume 2 by : Vicenc Puig
Download or read book Diagnosis and Fault-tolerant Control Volume 2 written by Vicenc Puig and published by John Wiley & Sons. This book was released on 2021-12-29 with total page 290 pages. Available in PDF, EPUB and Kindle. Book 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.
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.
Book Synopsis Diagnosis and Fault-tolerant Control Volume 2 by : Vicenc Puig
Download or read book Diagnosis and Fault-tolerant Control Volume 2 written by Vicenc Puig and published by John Wiley & Sons. This book was released on 2021-11-30 with total page 290 pages. Available in PDF, EPUB and Kindle. Book 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.
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.
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 936 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.
Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.
Book Synopsis Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems by : Steven X. Ding
Download or read book Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems written by Steven X. Ding and published by Springer Science & Business Media. This book was released on 2014-04-12 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.
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.
Book Synopsis Diagnosis and Fault-Tolerant Control by : Mogens Blanke
Download or read book Diagnosis and Fault-Tolerant Control written by Mogens Blanke and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Fault Tolerant Control Based on Detection, Diagnosis and Prognosis by : Ahmad Hussain Taqi Al-Bayati
Download or read book Fault Tolerant Control Based on Detection, Diagnosis and Prognosis written by Ahmad Hussain Taqi Al-Bayati and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Linlin Li addresses the analysis and design issues of observer-based FD and FTC for nonlinear systems. The author analyses the existence conditions for the nonlinear observer-based FD systems to gain a deeper insight into the construction of FD systems. Aided by the T-S fuzzy technique, she recommends different design schemes, among them the L_inf/L_2 type of FD systems. The derived FD and FTC approaches are verified by two benchmark processes.
Book Synopsis Fault Detection and Fault-Tolerant Control for Nonlinear Systems by : Linlin Li
Download or read book Fault Detection and Fault-Tolerant Control for Nonlinear Systems written by Linlin Li and published by Springer. This book was released on 2016-02-19 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linlin Li addresses the analysis and design issues of observer-based FD and FTC for nonlinear systems. The author analyses the existence conditions for the nonlinear observer-based FD systems to gain a deeper insight into the construction of FD systems. Aided by the T-S fuzzy technique, she recommends different design schemes, among them the L_inf/L_2 type of FD systems. The derived FD and FTC approaches are verified by two benchmark processes.
This book will play a central role in ensuring safe and reliable behaviour of intelligent and autonomous systems. It collects some of the most recent results in fault diagnosis and fault tolerant systems, with particular emphasis on mechatronic systems.
Book Synopsis Fault Diagnosis and Fault Tolerance for Mechatronic Systems: Recent Advances by : Fabrizio Caccavale
Download or read book Fault Diagnosis and Fault Tolerance for Mechatronic Systems: Recent Advances written by Fabrizio Caccavale and published by Springer. This book was released on 2003-09-05 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will play a central role in ensuring safe and reliable behaviour of intelligent and autonomous systems. It collects some of the most recent results in fault diagnosis and fault tolerant systems, with particular emphasis on mechatronic systems.
