Advanced decision-making methods and applications in system safety and reliability problems, Li, He Yazdi, Mohammad
Автор: Kravets Alla G., Bolshakov Alexander A., Shcherbakov Maxim Название: Society 5.0: Cyberspace for Advanced Human-Centered Society ISBN: 3030635627 ISBN-13(EAN): 9783030635626 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes new findings on socio-economic cyber systems control and development approaches based on AI and data-driven techniques. Approaches combined both mathematical models and data processing techniques are also proposed as advanced methods for smart system design for ecology and health care.
Introduction.- Separation: Some Relevant Boundary-Layer Properties, Interaction Issues, and Drag.- Elements of Vortex Theory.- The Local Vorticity Content of a Shear Layer.- The Matter of Discrete Euler Solutions for Lifting Wings.- About the Kutta Condition.- Topology of Skin-Friction and Velocity Fields.- Large Aspect-Ratio Wing Flow.- Particular Flow Problems of Large Aspect-Ratio Wings.- Small Aspect-Ratio Delta-Type Wing Flow.- Selected Flow Problems of Small Aspect-Ratio Delta-Type Wings.- Solutions of the Problems.
Описание: This book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc.
Описание: This new book will include the original, unpublished research studies and articles from the Modeling and Simulation Reliability 2018 conference organized by the editor. The chapters, along with case studies, will describe the latest research and developments and will be of interest to researchers, pratitioners, and academics.
Название: Predictive analytics ISBN: 036753746X ISBN-13(EAN): 9780367537463 Издательство: Taylor&Francis Рейтинг: Цена: 20671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and realworld examples. It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and realword examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.
Название: Reliability management and engineering ISBN: 0367492121 ISBN-13(EAN): 9780367492120 Издательство: Taylor&Francis Рейтинг: Цена: 9951.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reliability technology plays an important role in the present era of industrial growth, optimal efficiency, and reducing hazards. This book provides insights into current advances and developments in reliability engineering, and the research presented is spread across all branches. It discusses interdisciplinary solutions to complex problems using different approaches to save money, time, and manpower. It presents methodologies of coping with uncertainty in reliability optimization through the usage of various techniques such as soft computing, fuzzy optimization, uncertainty, and maintenance scheduling. Case studies and real-world examples are presented along with applications that can be used in practice.This book will be useful to researchers, academicians, and practitioners working in the area of reliability and systems assurance engineering.Provides current advances and developments across different branches of engineering.Reviews and analyses case studies and real-world examples.Presents applications to be used in practice.Includes numerous examples to illustrate theoretical results.
Название: Reliability Management and Engineering ISBN: 036721153X ISBN-13(EAN): 9780367211530 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides interdisciplinary solutions to complex problems using different approaches so as to save money, time, and manpower. Risk analysis will help the system analyst to plan their strategy to improve the performance of the system timely and accordingly
Автор: David Elmakias Название: New Computational Methods in Power System Reliability ISBN: 3642096573 ISBN-13(EAN): 9783642096570 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Power system reliability is the focus of intensive study due to its critical role in providing energy supply to modern society.
Описание: This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.
Автор: Quan-Lin Li; Jinting Wang; Hai-Bo Yu Название: Stochastic Models in Reliability, Network Security and System Safety ISBN: 9811508631 ISBN-13(EAN): 9789811508639 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is dedicated to Jinhua Cao on the occasion of his 80th birthday. Jinhua Cao is one of the most famous reliability theorists. His main contributions include: published over 100 influential scientific papers; published an interesting reliability book in Chinese in 1986, which has greatly influenced the reliability of education, academic research and engineering applications in China; initiated and organized Reliability Professional Society of China (the first part of Operations Research Society of China) since 1981. The high admiration that Professor Cao enjoys in the reliability community all over the world was witnessed by the enthusiastic response of each contributor in this book. The contributors are leading researchers with diverse research perspectives. The research areas of the book iclude a broad range of topics related to reliability models, queueing theory, manufacturing systems, supply chain finance, risk management, Markov decision processes, blockchain and so forth.The book consists of a brief Preface describing the main achievements of Professor Cao; followed by congratulations from Professors Way Kuo and Wei Wayne Li, and by Operations Research Society of China, and Reliability Professional Society of China; and further followed by 25 articles roughly grouped together. Most of the articles are written in a style understandable to a wide audience. This book is useful to anyone interested in recent developments in reliability, network security, system safety, and their stochastic modeling and analysis.
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