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Diagnosis and Fault-Tolerant Control
by Mogens Blanke Michel Kinnaert Jan Lunze Marcel StaroswieckiThis 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.
Diagnosis and Fault-tolerant Control 1: Data-driven and Model-based Fault Diagnosis Techniques
by Vicenc Puig Silvio SimaniThis book presents recent advances in fault diagnosis strategies for complex dynamic systems. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique, 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 1 also presents and compares different diagnosis schemes using established case studies that are widely used in related literature. The main features of this book regard the analysis, design and implementation of proper solutions for the problems of fault diagnosis in safety critical systems. The design of the considered solutions involves robust data-driven, model-based approaches.
Diagnosis and Fault-tolerant Control 1: Data-driven and Model-based Fault Diagnosis Techniques
by Vicenç Puig Silvio SimaniThis book presents recent advances in fault diagnosis strategies for complex dynamic systems. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique, 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 1 also presents and compares different diagnosis schemes using established case studies that are widely used in related literature. The main features of this book regard the analysis, design and implementation of proper solutions for the problems of fault diagnosis in safety critical systems. The design of the considered solutions involves robust data-driven, model-based approaches.
Diagnosis and Fault-tolerant Control Volume 2: From Fault Diagnosis to Fault-tolerant Control
by Vicenç Puig Silvio SimaniThis 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.
Diagnosis and Fault-tolerant Control Volume 2: From Fault Diagnosis to Fault-tolerant Control
by Vicenc Puig Silvio SimaniThis 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.
Diagnosis and Prediction (The IMA Volumes in Mathematics and its Applications #114)
by Seymour GeisserA collection of refereed papers from a six-week workshop on statistics in the health sciences, that brought together theoretical and applied statisticians from universities, medical and public health schools, government and private research institutions, and pharmaceutical companies involved in prediction problems in the life and social sciences and in diagnostic and screening tests. A number of papers with applications were presented and particularly lively discussions ensued involving the critical issues and difficulties in using and interpreting diagnostic tests and implementing mass screening programs. The prediction or controlling future events, such as survival, comparative survival and survival post intervention for a disease or even for certain biological or natural events was also represented by participants who presented work that devised predictive methodology for a variety of problems mainly from a Bayesian perspective.
Diagnosis and Robust Control of Complex Building Central Chilling Systems for Enhanced Energy Performance
by Dian-Ce GaoThis book discusses enhancing the overall energy performance of building central air-conditioning systems through fault diagnosis and robust control strategies. Fault diagnosis strategies aim to determine the exact cause of problems and evaluate the energy impact on the system, while robust control strategies aim to manage chilled water systems to avoid the occurrence of low delta-T syndrome and deficit flow problems. Presenting the first academic study of the diagnostic method and control mechanism of “small temperature difference syndrome”, the book describes the highly robust and adaptive fault-tolerant control method developed to overcome the influences of external disturbance on the process control in practical applications. The diagnostic technology developed provides a predictive assessment of the energy dissipation effect of the fault. This book is a valuable reference resource for researchers and designers in the areas of building energy management and built environment control, as well as for senior undergraduate and graduate students.
Diagnosis and Treatment of Cancer using Thermal Therapies: Minimal and Non-invasive Techniques
by Citlalli J. Trujillo-Romero Dora-Luz FloresNew research is being conducted in the diagnosis and new treatments of cancer that has high efficacy and are minimally invasiveness. Artificial intelligence, bioimpedance, thermal images and nanomaterials have been used to provide early diagnosis. New treatments based on the generation of microwaves, radiofrequency, or ultrasound have been proposed in the last couple of decades. Although thermotherapies have been shown to be efficient, for them to be considered as a primary treatment, they must overcome some hurdles. One of the main challenges is to ensure applicators that point the electromagnetic or the mechanical waves at a tumor, don't affect the surrounding healthy tissues. In some cases, nanoparticles have also been designed to achieve better focus. The design of new applicators can be made by computational models based on methods such as the finite element. However, to efficiently predict the applicator’s performance, it is important that dielectric, thermal, and acoustic properties (tissue characterization) are included in the models. Not only healthy tissue, but also tumors must be characterized. Patient specific treatment planning, which consists of a 3D patient model based on medical images, can be developed to implement a safety treatment. Moreover, tissue properties as well as the applicator must be defined. Parameters such as temperature increase, and heat pattern must be evaluated to ensure patient safety and treatment success.
Diagnosis and Treatment of Cancer using Thermal Therapies: Minimal and Non-invasive Techniques
New research is being conducted in the diagnosis and new treatments of cancer that has high efficacy and are minimally invasiveness. Artificial intelligence, bioimpedance, thermal images and nanomaterials have been used to provide early diagnosis. New treatments based on the generation of microwaves, radiofrequency, or ultrasound have been proposed in the last couple of decades. Although thermotherapies have been shown to be efficient, for them to be considered as a primary treatment, they must overcome some hurdles. One of the main challenges is to ensure applicators that point the electromagnetic or the mechanical waves at a tumor, don't affect the surrounding healthy tissues. In some cases, nanoparticles have also been designed to achieve better focus. The design of new applicators can be made by computational models based on methods such as the finite element. However, to efficiently predict the applicator’s performance, it is important that dielectric, thermal, and acoustic properties (tissue characterization) are included in the models. Not only healthy tissue, but also tumors must be characterized. Patient specific treatment planning, which consists of a 3D patient model based on medical images, can be developed to implement a safety treatment. Moreover, tissue properties as well as the applicator must be defined. Parameters such as temperature increase, and heat pattern must be evaluated to ensure patient safety and treatment success.
Diagnosis, Fault Detection & Tolerant Control (Studies in Systems, Decision and Control #269)
by Nabil Derbel Jawhar Ghommam Quanmin ZhuThis book focuses on unhealthy cyber-physical systems. Consisting of 14 chapters, it discusses recognizing the beginning of the fault, diagnosing the appearance of the fault, and stopping the system or switching to a special control mode known as fault-tolerant control. Each chapter includes the background, motivation, quantitative development (equations), and case studies/illustration/tutorial (simulations, experiences, curves, tables, etc.). Readers can easily tailor the techniques presented to accommodate their ad hoc applications.
Diagnosis of Neurological Disorders Based on Deep Learning Techniques
by Jyotismita ChakiThis book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. Along with this, data preprocessing including scaling, correction, trimming, and normalization is also included. Offers a detailed description of the deep learning approaches used for the diagnosis of neurological disorders. Demonstrates concepts of deep learning algorithms using diagrams, data tables, and examples for the diagnosis of neurodegenerative, neurodevelopmental, and psychiatric disorders. Helps build, train, and deploy different types of deep architectures for diagnosis. Explores data preprocessing techniques involved in diagnosis. Includes real-time case studies and examples. This book is aimed at graduate students and researchers in biomedical imaging and machine learning.
Diagnosis of Neurological Disorders Based on Deep Learning Techniques
This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. Along with this, data preprocessing including scaling, correction, trimming, and normalization is also included. Offers a detailed description of the deep learning approaches used for the diagnosis of neurological disorders. Demonstrates concepts of deep learning algorithms using diagrams, data tables, and examples for the diagnosis of neurodegenerative, neurodevelopmental, and psychiatric disorders. Helps build, train, and deploy different types of deep architectures for diagnosis. Explores data preprocessing techniques involved in diagnosis. Includes real-time case studies and examples. This book is aimed at graduate students and researchers in biomedical imaging and machine learning.
Diagnosis of Pathogenic Microorganisms Causing Infectious Diseases
by Irshad M. SulaimanInfectious diseases are caused by the pathogenic microbial organisms. These microbes can multiply and can cause an infection, once they enter the body. Infectious diseases are transmissible, and may cause mild to life-threatening illnesses. It can be airborne, waterborne, foodborne, and soilborne. It can be spread through direct contact (human to human, animal to human). It has also been one of the leading causes of human deaths. Therefore, there is a need to have rapid diagnostic methods to prevent and control these diseases. This book titled “Diagnosis of Pathogenic Microorganisms Causing Infectious Diseases” will help the scientific community to understand the transmission dynamics of some infectious diseases of public health importance.
Diagnosis of Pathogenic Microorganisms Causing Infectious Diseases
Infectious diseases are caused by the pathogenic microbial organisms. These microbes can multiply and can cause an infection, once they enter the body. Infectious diseases are transmissible, and may cause mild to life-threatening illnesses. It can be airborne, waterborne, foodborne, and soilborne. It can be spread through direct contact (human to human, animal to human). It has also been one of the leading causes of human deaths. Therefore, there is a need to have rapid diagnostic methods to prevent and control these diseases. This book titled “Diagnosis of Pathogenic Microorganisms Causing Infectious Diseases” will help the scientific community to understand the transmission dynamics of some infectious diseases of public health importance.
Diagnosis of Process Nonlinearities and Valve Stiction: Data Driven Approaches (Advances in Industrial Control)
by Ali Ahammad Choudhury Sirish L. Shah Nina F. Thornhillwere published in the series as the contributed volume, Process Control Performance Assessment: From Theory to Implementation with Andrzej Ordys, Damian Uduehi, and Michael Johnson as Editors (ISBN 978-1-84628-623-0, 2007). Along with this good progress in process controller assessment methods, researchers have also been investigating techniques to diagnose what is causing the process or control loop degradation. This requires the use of on-line data to identify faults via new diagnostic indicators of typical process problems. A significant focus of some of this research has been the issue of valve problems; a research direction that has been motivated by some industrial statistics that show up to 40% of control loops having performance degradation attributable to valve problems. Shoukat Choudhury, Sirish Shah, and Nina Thornhill have been very active in this research field for a number of years and have written a coherent and consistent presentation of their many research results as this monograph, Diagnosis of Process Nonlinearities and Valve Stiction. The Advances in Industrial Control series is pleased to welcome this new and substantial contribution to the process diagnostic literature. The reader will find the exploitation of the extensive process data archives created by today’s process computer systems one theme in the monograph. From another viewpoint, the use of higher-order statistics could be considered to provide a continuing link to the earlier methods of the statistical process control paradigm.
Diagnosis of the Nitrogen Status in Crops
by Gilles LemaireProviding a link between theoretical and applied aspects of plant nutrition and agriculture, this book introduces new concepts in plant nutrition. It shows how these can be applied in order to assess the nitrogen status in crops and to improve nitrogen nutrition through optimized N fertilization management. In this way economic benefits can be obtained, while at the same time preventing detrimental effects on the environment. The main agricultural crops - grasses, wheat, barley, Durum wheat, maize, sorghum, grain legumes and potatoes - are covered. The book will be an invaluable source for agronomists.
Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles (Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart)
by Tunan ShenTunan Shen aims to increase the availability of powertrain systems for autonomous electric vehicles by improving the diagnostic capability for critical faults. Following the fault analysis of powertrain systems in battery electric vehicles, the focus is on the electrical and mechanical faults of the electric machine. A multi-level diagnostic approach is proposed, which consists of multiple diagnostic models, such as a physical model, a data-based anomaly detection model, and a neural network model. To improve the overall diagnostic capability, a decision making function is designed to derive a comprehensive decision from the predictions of various operating points and different models.
Diagnosis & Prognosis of AAR Affected Structures: State-of-the-Art Report of the RILEM Technical Committee 259-ISR (RILEM State-of-the-Art Reports #31)
by Victor E. SaoumaThis book presents the work of the RILEM Technical Committee 259-ISR. Addressing two complementary but fundamental issues: the kinetics of the reaction, and how this will affect the integrity of the structure (serviceability and strength), it also provides methodology for assessing past deterioration to enable readers to make engineering/science-based predictions concerning future expansion. The book is divided into six major topics: selection and interpretation of optimal monitoring system for structures undergoing expansion to monitor the progress of the swelling evolution and its consequences; development/refinement of current laboratory procedures to determine the kinetics of the reaction i.e. expansion vs (future) time, and to determine the kinetic characteristics of the time-dependent reaction to be used in a finite element simulation; extrapolation of results from structural component laboratory testing; selection of material properties based on data from existing structures affected by the alkali silica reaction or delayed ettringite formation; identification of critical features that should be present in a finite element code, development of test problems for validation, and a survey of relevant programs able to conduct a transient structural analysis of a structure undergoing chemically induced expansion; and lastly guidelines for finite element codes. The book is intended for practitioners responsible for concrete structures affected by the damaging alkali aggregate reaction, engineers dealing with aging structures, and researchers in the field.
Diagnostic Devices with Microfluidics (Devices, Circuits, and Systems)
by Francesco Piraino Šeila SelimovićThis book provides a current view of the research and commercial landscape of diagnostics devices, particularly those that utilize microscale technologies, intended for both patient and laboratory use. Common diagnostic devices that are based on microfluidic principles include glucose sensors for diabetic patients and over-the-counter pregnancy tests. Other diagnostic devices are being developed to quickly test a patient for bacterial and viral infections, and other diseases. The chapters, written by experts from around the world, discuss how to fabricate, apply, and market microfluidic diagnostic chips – for lab and at-home use. Most importantly, the book also contains a discussion of topics relevant to the private sector, including patient-focused, market-oriented development of diagnostics devices.
Diagnostic Devices with Microfluidics (Devices, Circuits, and Systems)
by Francesco Piraino Šeila SelimovićThis book provides a current view of the research and commercial landscape of diagnostics devices, particularly those that utilize microscale technologies, intended for both patient and laboratory use. Common diagnostic devices that are based on microfluidic principles include glucose sensors for diabetic patients and over-the-counter pregnancy tests. Other diagnostic devices are being developed to quickly test a patient for bacterial and viral infections, and other diseases. The chapters, written by experts from around the world, discuss how to fabricate, apply, and market microfluidic diagnostic chips – for lab and at-home use. Most importantly, the book also contains a discussion of topics relevant to the private sector, including patient-focused, market-oriented development of diagnostics devices.
Diagnostic Expertise in Organizational Environments
by Mark W. Wiggins Thomas LovedayDiagnostic Expertise in Organizational Environments provides a state-of-the-art foundation for a new paradigm in expertise research and practice. Skilled diagnosis is essential for accurate and efficient performance across a range of organizational contexts, including aviation, finance, rail, forensic investigation, firefighting, and medicine. However, it is also a complex process, subject to the abilities and experience of individual operators, the culture and practices of organizations, the relationships between operators, and the availability and usefulness of technology. As a consequence, diagnostic skills can be difficult to learn, maintain, and evaluate. This volume is a comprehensive approach that examines diagnostic expertise at the level of the individual practitioner, in the social context, and at the organizational level. The chapter authors comprise both academics and highly skilled practitioners so that there is a clear transition from understanding the problem of diagnostic skills to the implementation of solutions, either through redesign, training, and/or selection. It will appeal to those academics and practitioners interested and involved in this field and also prove useful to students of psychology, cognitive science education and/or computer interaction.
Diagnostic Expertise in Organizational Environments
by Mark W. Wiggins Thomas LovedayDiagnostic Expertise in Organizational Environments provides a state-of-the-art foundation for a new paradigm in expertise research and practice. Skilled diagnosis is essential for accurate and efficient performance across a range of organizational contexts, including aviation, finance, rail, forensic investigation, firefighting, and medicine. However, it is also a complex process, subject to the abilities and experience of individual operators, the culture and practices of organizations, the relationships between operators, and the availability and usefulness of technology. As a consequence, diagnostic skills can be difficult to learn, maintain, and evaluate. This volume is a comprehensive approach that examines diagnostic expertise at the level of the individual practitioner, in the social context, and at the organizational level. The chapter authors comprise both academics and highly skilled practitioners so that there is a clear transition from understanding the problem of diagnostic skills to the implementation of solutions, either through redesign, training, and/or selection. It will appeal to those academics and practitioners interested and involved in this field and also prove useful to students of psychology, cognitive science education and/or computer interaction.
Diagnostic of Concrete Samples Affected by Internal Swelling Reactions (Building Pathology and Rehabilitation #21)
by António C. Azevedo Fernando A.N. Silva João M.P.Q. Delgado Nicole P.S. Souza Mahfoud Tahlaiti Abdelhafid KhelidjThis book offers a complete diagnosis of concrete samples collected from a pile cap block of residential buildings affected by internal swelling reactions. Covering an extensive laboratory campaign to evaluate the transport properties of concrete samples, as well as their physical and chemical composition using advanced techniques to analyse cores extracted from real buildings that have concrete elements affected by internal swelling reactions (ISR). It features several rehabilitation procedures, pile caps repair and rehabilitation design, executed using strengthening procedures to provide the complete restoration of the structural integrity of the element deteriorated. These rehabilitation procedures proved to be a good solution to retrofit pile cap deteriorated by expansions due to internal swelling reactions of concrete. The book also offers a systematic review of the current state of knowledge and it is a valuable resource for scientists, students, and practitioners in various scientific and engineering disciplines, namely, civil and materials engineering, as well as and other interested parties.
Diagnostic Systems For Energy Equipments (Studies in Systems, Decision and Control #281)
by Vitalii P. Babak Serhii V. Babak Mykhailo V. Myslovych Artur O. Zaporozhets Valeriy M. ZvaritchThis book examines key issues in ensuring the operational reliability of energy facilities. In this regard, it analyzes mathematical models of diagnostic signals that arise during the operation of power equipment; reviews the main findings of research into their characteristics; presents diagnostics methods for selected types of electric power and heat engineering equipment; and covers a range of diagnostic and monitoring systems and devices for power equipment. Given its scope, the book offers a valuable resource for researchers, engineers and specialists, as well as instructors and graduate students at institutions of higher learning.
Diagnostic Techniques in Industrial Engineering (Management and Industrial Engineering)
by Mangey Ram J. Paulo DavimThis book presents the most important tools, techniques, strategy and diagnostic methods used in industrial engineering. The current widely accepted methods of diagnosis and their properties are discussed. Also, the possible fruitful areas for further research in the field are identified.