ISHM is an innovative combination of technologies and methods that offers solutions to the reliability problems caused by increased complexities in design, manufacture, use conditions, and maintenance. Its key strength is in the successful integration of reliability (quantitative estimation of successful operation or failure), "diagnosibility" (ability to determine the fault source), and maintainability (how to maintain the performance of a system in operation). It draws on engineering issues such as advanced sensor monitoring, redundancy management, probabilistic reliability theory, artificial intelligence for diagnostics and prognostics, and formal validation methods, but also "quasi-technical" techniques and disciplines such as quality assurance, systems architecture and engineering, knowledge capture, information fusion, testability and maintainability, and human factors. This groundbreaking book defines and explains this new discipline, providing frameworks and methodologies for implementation and further research. Each chapter includes experiments, numerical examples, simulations and case studies. It is the ideal guide to this crucial topic for professionals or researchers in aerospace systems, systems engineering, production engineering, and reliability engineering.Solves prognostic information selection and decision-level information fusion issuesPresents integrated evaluation methodologies for complex aerospace system health conditions and software system reliability assessmentProposes a framework to perform fault diagnostics with a distributed intelligent agent system and a data mining approach for multistate systemsExplains prognostic methods that combine both the qualitative system running state prognostics and the quantitative remaining useful life prediction

Integrated System Health Management: Perspectives on Systems Engineering Techniques

Engineering & Transportation

Xu, Lei

Xu, Jiuping

Engineering

Academic Press

Tubular String Characterization in High Temperature High Pressure Oil and Gas Wells (Multiphysics Modeling)

High temperature, high oil pressure, oil and gas well completion testing have always been a technical challenge and basic theoretical research is one of the key factors needed to ensure a successful completion test. The completion test basic theory includes: a stress analysis of the completion string, completion string buckling behavior, and temperature and pressure distribution prediction. The completion string is the main bearing and power transmission component for oil and gas well operations and production, and it is required to take on a combination of loads, which result in completion string deformation. Because of these complex relationships, completion string stress analysis has become increasingly more complicated. This book discusses the characters of tubular strings in HTHP (High Temperature - High Pressure) oil and gas wells. These characters include the mechanical behavior of tubular strings and the temperature and pressure variation of tubular strings in different conditions. Mathematical models are established for different conditions and solution existence and uniqueness of some models is discussed, providing algorithms corresponding to the different models. Numerical experiments are presented to verify the validity of models and the feasibility of algorithms, and the impact of the parameters of models for oil and gas wells is also discussed. This book is written for production and testing engineers to provide them with the tools to deal more effectively with the numerical decisions they have to take and for researchers and technicians in petroleum and gas testing and production engineering. Finally, it is also intended to serve as a reference book for mathematicians, college teachers and students.

Science & Math

Wu, Zezhong

Earth Sciences

CRC-Press

Rough Multiple Objective Decision Making

Under intense scrutiny for the last few decades, Multiple Objective Decision Making (MODM) has been useful for dealing with the multiple-criteria decisions and planning problems associated with many important applications in fields including management science, engineering design, and transportation. Rough set theory has also proved to be an effective mathematical tool to counter the vague description of objects in fields such as artificial intelligence, expert systems, civil engineering, medical data analysis, data mining, pattern recognition, and decision theory. Rough Multiple Objective Decision Making is perhaps the first book to combine state-of-the-art application of rough set theory, rough approximation techniques, and MODM. It illustrates traditional techniques―and some that employ simulation-based intelligent algorithms―to solve a wide range of realistic problems. Application of rough theory can remedy two types of uncertainty (randomness and fuzziness) which present significant drawbacks to existing decision-making methods, so the authors illustrate the use of rough sets to approximate the feasible set, and they explore use of rough intervals to demonstrate relative coefficients and parameters involved in bi-level MODM. The book reviews relevant literature and introduces models for both random and fuzzy rough MODM, applying proposed models and algorithms to problem solutions. Given the broad range of uses for decision making, the authors offer background and guidance for rough approximation to real-world problems, with case studies that focus on engineering applications, including construction site layout planning, water resource allocation, and resource-constrained project scheduling. The text presents a general framework of rough MODM, including basic theory, models, and algorithms, as well as a proposed methodological system and discussion of future research.

Business & Money

Tao, Zhimiao

Economics

Chapman and Hall/CRC

High temperature, high oil pressure, oil and gas well completion testing have always been a technical challenge and basic theoretical research is one of the key factors needed to ensure a successful completion test. The completion test basic theory includes: a stress analysis of the completion string, completion string buckling behavior, and temperature and pressure distribution prediction. The completion string is the main bearing and power transmission component for oil and gas well operations and production, and it is required to take on a combination of loads, which result in completion string deformation. Because of these complex relationships, completion string stress analysis has become increasingly more complicated. This book discusses the characters of tubular strings in HTHP (High Temperature - High Pressure) oil and gas wells. These characters include the mechanical behavior of tubular strings and the temperature and pressure variation of tubular strings in different conditions. Mathematical models are established for different conditions and solution existence and uniqueness of some models is discussed, providing algorithms corresponding to the different models. Numerical experiments are presented to verify the validity of models and the feasibility of algorithms, and the impact of the parameters of models for oil and gas wells is also discussed. This book is written for production and testing engineers to provide them with the tools to deal more effectively with the numerical decisions they have to take and for researchers and technicians in petroleum and gas testing and production engineering. Finally, it is also intended to serve as a reference book for mathematicians, college teachers and students.

Under intense scrutiny for the last few decades, Multiple Objective Decision Making (MODM) has been useful for dealing with the multiple-criteria decisions and planning problems associated with many important applications in fields including management science, engineering design, and transportation. Rough set theory has also proved to be an effective mathematical tool to counter the vague description of objects in fields such as artificial intelligence, expert systems, civil engineering, medical data analysis, data mining, pattern recognition, and decision theory. Rough Multiple Objective Decision Making is perhaps the first book to combine state-of-the-art application of rough set theory, rough approximation techniques, and MODM. It illustrates traditional techniques―and some that employ simulation-based intelligent algorithms―to solve a wide range of realistic problems. Application of rough theory can remedy two types of uncertainty (randomness and fuzziness) which present significant drawbacks to existing decision-making methods, so the authors illustrate the use of rough sets to approximate the feasible set, and they explore use of rough intervals to demonstrate relative coefficients and parameters involved in bi-level MODM. The book reviews relevant literature and introduces models for both random and fuzzy rough MODM, applying proposed models and algorithms to problem solutions. Given the broad range of uses for decision making, the authors offer background and guidance for rough approximation to real-world problems, with case studies that focus on engineering applications, including construction site layout planning, water resource allocation, and resource-constrained project scheduling. The text presents a general framework of rough MODM, including basic theory, models, and algorithms, as well as a proposed methodological system and discussion of future research.

Decision has inspired reflection of many thinkers since the ancient times. With the rapid development of science and society, appropriate dynamic decision making has been playing an increasingly important role in many areas of human activity including engineering, management, economy and others. In most real-world problems, decision makers usually have to make decisions sequentially at different points in time and space, at different levels for a component or a system, while facing multiple and conflicting objectives and a hybrid uncertain environment where fuzziness and randomness co-exist in a decision making process. This leads to the development of fuzzy-like multiple objective multistage decision making. This book provides a thorough understanding of the concepts of dynamic optimization from a modern perspective and presents the state-of-the-art methodology for modeling, analyzing and solving the most typical multiple objective multistage decision making practical application problems under fuzzy-like uncertainty, including the dynamic machine allocation, closed multiclass queueing networks optimization, inventory management, facilities planning and transportation assignment. A number of real-world engineering case studies are used to illustrate in detail the methodology. With its emphasis on problem-solving and applications, this book is ideal for researchers, practitioners, engineers, graduate students and upper-level undergraduates in applied mathematics, management science, operations research, information system, civil engineering, building construction and transportation optimization

Fuzzy-Like Multiple Objective Multistage Decision Making (Studies in Computational Intelligence, 533)

Computers & Technology

Zeng, Ziqiang

Computer Science

Springer

Decision has inspired reflection of many thinkers since the ancient times. With the rapid development of science and society, appropriate dynamic decision making has been playing an increasingly important role in many areas of human activity including engineering, management, economy and others. In most real-world problems, decision makers usually have to make decisions sequentially at different points in time and space, at different levels for a component or a system, while facing multiple and conflicting objectives and a hybrid uncertain environment where fuzziness and randomness co-exist in a decision making process. This leads to the development of fuzzy-like multiple objective multistage decision making. This book provides a thorough understanding of the concepts of dynamic optimization from a modern perspective and presents the state-of-the-art methodology for modeling, analyzing and solving the most typical multiple objective multistage decision making practical application problems under fuzzy-like uncertainty, including the dynamic machine allocation, closed multiclass queueing networks optimization, inventory management, facilities planning and transportation assignment. A number of real-world engineering case studies are used to illustrate in detail the methodology. With its emphasis on problem-solving and applications, this book is ideal for researchers, practitioners, engineers, graduate students and upper-level undergraduates in applied mathematics, management science, operations research, information system, civil engineering, building construction and transportation optimization

Discover the most cutting-edge solutions to the environmental problems posed by coal In Innovative Approaches towards Ecological Coal Mining and Utilization, a distinguished team of researchers delivers a comprehensive and fulsome exploration of the ecological problems caused by coal mining and utilization. The book discusses environmental pollution and carbon emissions in the context of modelling coal engineering issues, the design of innovative coal engineering systems, and the evaluation of innovative coal mining systems. The authors consider the technical and economic viability of each proposed solution, making the book ideal reading for environmental and energy researchers in academic and industrial circles. Fully interdisciplinary, Innovative Approaches towards Ecological Coal Mining and Utilization offers readers an integrated look at the management science and policy simulation involved solutions to ecological problems caused by coal mining and utilization. The included resources make full use of expansive case studies to illustrate the concepts discussed in the book, as well as robust economic analyses of the various technologies. Readers will also discover: <ul> <li>A thorough introduction to ecological coal mining and developing trends in ecological coal utilization</li> <li>Comprehensive explorations of innovative approaches in coal mining and a multiple coal seams-oriented equilibrium strategy towards coal-water conflict resolution</li> <li>Practical discussions of seasonal change-oriented dynamic strategies towards coal-water conflict resolution and GIS-oriented equilibrium strategies for coal gangue contamination mitigation</li> <li>In-depth examinations of carbon dioxide emission reduction in coal-fired power operations</li> </ul> Perfect for environmental and water chemists, mining specialists, and chemical engineers, Innovative Approaches towards Ecological Coal Mining and Utilization will also prove to be an invaluable addition to the libraries of process engineers seeking the latest information on solutions to the environmental problems caused by coal mining and utilization.

Innovative Approaches towards Ecological Coal Mining and Utilization

Xie, Heping

Lv, Chengwei

Technology

Wiley-VCH

Sustainable Hybrid Energy Systems Discovering comprehensive approaches to build sustainable hybrid energy systems Hybridization is the eternal theme of human energy utilization. However, it has never been more important than it is now because of the urgency of promoting energy transition and achieving carbon neutrality. Therefore, exploring the design, combustion, operation, and policy challenges of sustainable hybrid energy systems becomes increasingly important. Sustainable Hybrid Energy Systems: Carbon Neutral Approaches, Modeling, and Case Studies provides a detailed explanation of these aspects. Dividing hybrid energy systems into three categories--co-located, co-combusted, and co-operated, this book emphasizes the deployment optimization, emission quota allocation, scheduling coordination, and renewable portfolio standards implementation of these systems. The results are essential tools for understanding the current and future of multi-input single-output hybrid energy systems. Sustainable Hybrid Energy Systems readers will also find: <ul> <li>Clear logical framework that reveals the constitutes of hybrid energy systems.</li> <li>Systematic technical scheme for building an economic, environmental, flexible, and resilient future energy system.</li> <li>Extensive case studies from single power plant level, multiple power plant level, and grid level.</li> <li>Effective guidelines for wider application of the proposed carbon neutral approaches.</li> </ul> Sustainable Hybrid Energy Systems is ideal for power engineers, electrical engineers, scientists in industry, and environmental researchers looking to understand these energy solutions. It will also provide collectible value for libraries.

Sustainable Hybrid Energy Systems: Carbon Neutral Approaches, Modeling, and Case Studies

Wang, Fengjuan

Mathematics

Decision makers usually face multiple, conflicting objectives and the complicated fuzzy-like environments in the real world. What are the fuzzy-like environments? How do we model the multiple objective decision making problems under fuzzy-like environments? How do you deal with these models? In order to answer these questions, this book provides an up-to-date methodology system for fuzzy-like multiple objective decision making, which includes modelling system, model analysis system, algorithm system and application system in structure optimization problem, selection problem, purchasing problem, inventory problem, logistics problem and so on. Researchers, practitioners and students in management science, operations research, information science, system science and engineering science will find this work a useful reference.

Fuzzy-Like Multiple Objective Decision Making (Studies in Fuzziness and Soft Computing, 263)

Zhou, Xiaoyang

See the best price to sell, buy, or rent books by Xu, Jiuping. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Xu, Jiuping

See the best price to sell, buy, or rent books by Xu, Jiuping. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Integrated System Health Management: Perspectives on Systems Engineering Techniques

Tubular String Characterization in High Temperature High Pressure Oil and Gas Wells (Multiphysics Modeling)

Rough Multiple Objective Decision Making

Tubular String Characterization in High Temperature High Pressure Oil and Gas Wells (Multiphysics Modeling)

Rough Multiple Objective Decision Making

Fuzzy-Like Multiple Objective Multistage Decision Making (Studies in Computational Intelligence, 533)

Fuzzy-Like Multiple Objective Multistage Decision Making (Studies in Computational Intelligence, 533)

Innovative Approaches towards Ecological Coal Mining and Utilization

Sustainable Hybrid Energy Systems: Carbon Neutral Approaches, Modeling, and Case Studies

Fuzzy-Like Multiple Objective Decision Making (Studies in Fuzziness and Soft Computing, 263)