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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators and data-driven model based state estimators with a special emphasis on their development and applications to process monitoring, fault diagnosis and control. The design and analysis of different state estimators are highlighted with a number of applications and case studies concerning to various real chemical and biochemical processes. The book starts with the introduction of basic concepts, extending to classical methods and successively leading to advances in this field. Design and implementation of various classical and advanced state estimation methods to solve a wide variety of problems makes this book immensely useful for the audience working in different disciplines in academics, research and industry in areas concerning to process monitoring, fault diagnosis, control and related disciplines. - Describes various classical and advanced versions of mechanistic model based state estimation algorithms - Describes various data-driven model based state estimation techniques - Highlights a number of real applications of mechanistic model based and data-driven model based state estimators/soft sensors - Beneficial to those associated with process monitoring, fault diagnosis, online optimization, control and related areas
Readers will find a multidisciplinary approach elucidating all the important features of green hydrogen so that science researchers and energy engineers as well as those in economics, political science and international relations, will also find value. Energy sources and generation is the foremost concern of all governments, NGOs, and activist groups. With Green New Deals and reduced or net zero emission goals being implemented on a global scale, the quest for economic, scalable, efficient, and sustainable energy systems has reached a fever pitch. No one energy source ticks all the boxes and new energy technologies are being developed all the time as potential disruptors. Enter green hydrogen with zero emissions. Hydrogen is a rare gas in nature and is often found together with natural gas. While hydrogen is the most abundant element in the known universe, molecular hydrogen is very rare in nature and needs to be produced—and produced in large quantities, if we are serious about the Green Deal. This book has been organized into three parts to introduce and discuss these crucial topics. Part I discusses the Green Deal and the current state and challenges encountered in the industrialization of green hydrogen production, as well as related politics. Chapters in this section include how to decarbonize the energy industry with green hydrogen, and one that describes a gradual shift in the approach of hydrogen production technologies from non-renewable to renewable. Part II is devoted to carbon capturing and hydrogen. Chapters on biomass mass waste-to-hydrogen conversion and related efficient and sustainable hydrogen storage pathways, life cycle assessment for eco-design of biohydrogen factory by microalgae, and metal oxide-based carbon capture technologies are all addressed in this section. The third and final part of the book was designed to present all features of green hydrogen generation. Chapters include PEM water electrolysis and other electrolyzers, wind-driven hydrogen production, and bifunctional electrocatalysts-driven hybrid water splitting, are introduced and thoroughly discussed. Audience This book is directed to researchers and industry professionals in energy engineering, chemistry, physics, materials science, and chemical engineering, as well as energy policymakers, energy economists, and others in the social sciences.
A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: * Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation * Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice * MATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering. Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the reader's understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries.
Health Effects of Indoor Air Pollution, Volume Two, Air Pollution, Human Health, and the Environment is part of a three volume series. This volume covers the various classifications of indoor air pollutants and discusses the health impact of indoor pollutants, such as gaseous pollutants and particulate matter. It also examines epidemiological studies related to different air pollutants on health and the workplace. This book begins with an overview of classifications, sources, and occurrences of indoor air pollutants. It also examines the environmental and health impacts due to organic and inorganic air pollutants and how to mitigate them through exposure and risk management. Other sections explore "sick building syndrome," which causes acute health and discomfort that appears to be linked to time spent in a building. Recent trends and control strategies for occupation exposure due to poor indoor air quality in industrial and nonindustrial workplaces to human health are also covered. This book is a valuable reference for academicians, researchers, and students in environmental health, public health, and occupational health, as well as environmental engineers, meteorologists, epidemiologists, medical researchers, and environmental toxicologists. - Reviews sources and occurrences of organic and inorganic air pollutants - Examines the health impact, such as "sick building syndrome," and the effect of gaseous indoor pollutants and fine particulate matter on sensitive populations - Discusses indoor air quality and the link between ventilation, indoor air pollutants, and environmental quality
Diseases and Health Consequences of Air Pollution, Volume Three, Air Pollution, Human Health, and the Environment is part of a three-volume series. This volume focuses on epidemiological studies and diseases attributed to ambient and indoor air pollutants. It opens with an overview of diseases and health consequences due to air pollution. The chapters discuss health conditions such as respiratory issues, cardiovascular diseases, hypertension and blood pressure, diabetes, nervous system, brain, cancer, stroke—cerebrovascular disease, and skin disease that are linked to exposure to indoor and outdoor air pollutants. The book also evaluates the health cost and economic burden of air pollution and offers risk management and solutions to mitigate the health implications of indoor and ambient air pollution. This book provides a single source solution and the latest information about the diseases attributed to air pollutants and their health impact. It will be a valuable reference for academicians, researchers, and students in environmental health, public health, and occupational health, as well as environmental engineers, meteorologists, epidemiologists, medical researchers, and environmental toxicologists. - Discusses diseases attributed to air pollutants - Explains the mechanism of air pollutants on human organs - Examines human epidemiological studies and case studies on disease outcomes due to air pollutants - Covers health cost and economic burden evaluation of air pollution
Health and Environmental Effects of Ambient Air Pollution is part of a series of three volumes for Air Pollution, Human Health, and the Environment. Volume 1 discusses the adverse consequences of ambient air pollutants on human health, animals, plants, and structures. This book examines the production of ambient air pollutants in the environment. It begins with an overview of the classifications, sources, and occurrences of outdoor air pollutants. This book covers meteorological, climate, and topographical factors affecting air pollution, discusses how urbanization and industrialization affect air quality, and explores how climate conditions like global warming, acid rain, and airborne particulate matter impact human health. It also looks at epidemiology studies and socioeconomic aspects of outdoor air pollution, estimating health and cost effects, air quality indices, guidelines, standards, and information networks of ambient air pollutants. With contributors from experts in the field, this book is a valuable reference for academicians, researchers, and students in environmental health, public health, and occupational health, as well as environmental engineers, meteorologists, epidemiologists, medical researchers, and environmental toxicologists. - Discusses both causes of ambient air pollution and the toxicological impact on human health - Covers the health risk assessment of ambient air with an emphasis on the elements, exposure, and risk management - Examines air quality management and other ambient air pollution solutions - Discusses the environmental effects of ambient air pollutants like climate change and global warming - Examines the epidemiology studies, estimating health and cost effects
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.
The introduction of the microprocessor in computer and system engineering has motivated the development of many new concepts and has simplified the design of many modern industrial systems. During the first decade of their life. microprocessors have shown a tremendous evolution in all possible directions (technology. power. functionality. I/O handling. etc). Of course putting the microprocessors and their environmental devices into properly operating systems is a complex and difficult task requiring high skills for melding and integrating hardware. and systemic components. software This book was motivated by the editors' feeling that a cohesive reference is needed providing a good coverage of modern industrial applications of microprocessor-based real time control, together with latest advanced methodological issues. Unavoidably a single volume cannot be exhaustive. but the present book contains a sufficient number of important real-time applications. The book is divided in two sections. Section I deals with general hardware. software and systemic topics. and involves six chapters. Chapter 1. by Gupta and Toong. presents an overview of the development of microprocessors during their first twelve years of existence. Chapter 2. by Dasgupta. deals with a number of system software concepts for real time microprocessor-based systems (task scheduling. memory management. input-output aspects. programming language reqUirements.
This book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO’2018, held on June 20 – 22, 2018, in Santander, Spain. The book describes both theoretical developments and a number of industrial case studies, which cover different topics, such as: noise and vibrations in machinery, conditioning monitoring in non-stationary operations, vibro-acoustic diagnosis of machinery, signal processing, application of pattern recognition and data mining, monitoring and diagnostic systems, faults detection, dynamics of structures and machinery, and mechatronic machinery diagnostics.
Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely. - Outlines latent variable based hypothesis testing fault detection techniques to enhance monitoring processes represented by linear or nonlinear input-space models (such as PCA) or input-output models (such as PLS) - Explains multiscale latent variable based hypothesis testing fault detection techniques using multiscale representation to help deal with uncertainty in the data and minimize its effect on fault detection - Includes interval PCA (IPCA) and interval PLS (IPLS) fault detection methods to enhance the quality of fault detection - Provides model-based detection techniques for the improvement of monitoring processes using state estimation-based fault detection approaches - Demonstrates the effectiveness of the proposed strategies by conducting simulation and experimental studies on synthetic data