Statistical Analysis of Reliability and Life-Testing Models, Bain, Lee
Автор: Pham Название: Applications in Reliability and Statistical Computing ISBN: 3031212312 ISBN-13(EAN): 9783031212314 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.
Описание: Discusses advances in the field of reliability engineering with real-life applications. Covers consecutive-type reliability structures and applications in the optimization of telecommunication networks, and complex infrared detecting systems. Discusses probabilistic approaches and statistical methods to investigate the performance and the design of reliability structures.
Provides simulation-based analyses and real data case studies related to reliability engineering.
Описание: This book provides real-life examples and illustrations of models in reliability engineering and statistical quality control and establishes a connection between the theoretical framework and their engineering applications.
Описание: An examination of system reliability theory, this title features in-depth discussion of dependability management and reliability centered systems as well as functional safety issues-matters critical to the IEC standards.
Автор: Pham Название: Statistical Reliability Engineering ISBN: 3030769062 ISBN-13(EAN): 9783030769062 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering.
Описание: This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering.
Автор: Nakamura Syouji, Qian Cun Hua, Nakagawa Toshio Название: Reliability Modeling With Computer And Maintenance Applications ISBN: 9813224495 ISBN-13(EAN): 9789813224490 Издательство: World Scientific Publishing Рейтинг: Цена: 20592.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The development of Reliability and Maintenance theory and applications has become major concerns of engineers and managers engaged in order to design and product systems that are highly reliable. This book aims to cover the ongoing research topics in computer system, reliability analysis, reliability applications and maintenance policies, so as to provide awareness for those who engage systems design, being students, technicians, or research engineers, as a reference guidebook.
Автор: Syed Riffat Ali Название: Next Generation and Advanced Network Reliability Analysis ISBN: 3030016463 ISBN-13(EAN): 9783030016463 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers reliability assessment and prediction of new technologies such as next generation networks that use cloud computing, Network Function Virtualization (NVF), Software Defined Network (SDN), Next Generation Transport, Evolving Wireless Systems, Digital VoIP Telephony, and Reliability Testing techniques specific to Next Generation Networks (NGN). This book introduces the technology to the reader first, followed by advanced reliability techniques applicable to both hardware and software reliability analysis. The book covers methodologies that can predict reliability using component failure rates to system level downtimes. The book’s goal is to familiarize the reader with analytical techniques, tools and methods necessary for analyzing very complex networks using very different technologies. The book lets readers quickly learn technologies behind currently evolving NGN and apply advanced Markov modeling and Software Reliability Engineering (SRE) techniques for assessing their operational reliability.Covers reliability analysis of advanced networks and provides basic mathematical tools and analysis techniques and methodology for reliability and quality assessment;Develops Markov and Software Engineering Models to predict reliability;Covers both hardware and software reliability for next generation technologies.
Описание: This book considers a broad range of areas from decision making methods applied in the contexts of Risk, Reliability and Maintenance (RRM). The book addresses an innovative treatment of decision making in RRM, improving the integration of fundamental concepts from both areas of RRM and decision making.
Many real-world systems in engineering are composed of multi-state components that have different performance levels and several failure modes. These have effects on the entire system's performance.
Most books on reliability theory are devoted to traditional binary models that only allow a system either to function perfectly or fail completely.
The Universal Generating Function in Reliability Analysis and Optimization is the first book that gives a comprehensive description of the universal generating function technique and its applications in both binary and multi-state system reliability analysis.
Features:
an introduction to the basic tools used in multi-state system reliability and optimisation;
applications of the universal generating function in the most widely used multi-state systems;
several examples of how the universal generating function can be adapted to different systems in mechanical, industrial and software engineering
The Universal Generating Function in Reliability Analysis and Optimization will be of value to all those interested in multi-state systems in industrial, electrical and nuclear engineering.
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