[PDF] Stochastic Models In Reliability Network Security And System Safety eBook

Author : Quan-Lin Li
Publisher : Springer Nature
Page : 497 pages
File Size : 30,91 MB
Release : 2019-10-21
Category : Computers
ISBN : 981150864X

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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.

Author : Lirong Cui
Publisher : CRC Press
Page : 376 pages
File Size : 47,71 MB
Release : 2020-09-01
Category : Mathematics
ISBN : 1000094618

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This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working at the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, all of which have seen extended research activities in recent years. The methods presented in this book are real-world examples that demonstrate improvements in essential reliability and availability for industrial equipment such as medical magnetic resonance imaging, power systems, traction drives for a search and rescue helicopter, and air conditioning systems. The book presents real case studies of redundant multi-state air conditioning systems for chemical laboratories and covers assessments of reliability and fault tolerance and availability calculations. Conventional and contemporary topics in reliability engineering are discussed, including degradation, networks, and dynamic reliability, resilience, and multi-state systems, all of which are relatively new topics to the field. The book is aimed at engineers and scientists, as well as postgraduate students involved in reliability design, analysis, and experiments and applied probability and statistics.

Author : Terje Aven
Publisher : Springer Science & Business Media
Page : 307 pages
File Size : 25,43 MB
Release : 2013-08-04
Category : Mathematics
ISBN : 1461478944

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This book provides a comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows analysts to formulate general failure models, establish formulae for computing various performance measures, as well as determine how to identify optimal replacement policies in complex situations. In this second edition of the book, two major topics have been added to the original version: copula models which are used to study the effect of structural dependencies on the system reliability; and maintenance optimization which highlights delay time models under safety constraints. Terje Aven is Professor of Reliability and Risk Analysis at University of Stavanger, Norway. Uwe Jensen is working as a Professor at the Institute of Applied Mathematics and Statistics of the University of Hohenheim in Stuttgart, Germany. Review of first edition: "This is an excellent book on mathematical, statistical and stochastic models in reliability. The authors have done an excellent job of unifying some of the stochastic models in reliability. The book is a good reference book but may not be suitable as a textbook for students in professional fields such as engineering. This book may be used for graduate level seminar courses for students who have had at least the first course in stochastic processes and some knowledge of reliability mathematics. It should be a good reference book for researchers in reliability mathematics." --Mathematical Reviews (2000)

Author : Shunji Osaki
Publisher : Springer Science & Business Media
Page : 362 pages
File Size : 18,5 MB
Release : 2002-04
Category : Business & Economics
ISBN : 9783540431336

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This book contains 12 contributions on stochastic models in reliability and maintenance. Written by the leading researchers on each topic, each contribution surveys the current status on stochastic models emphasizing mathematical formulation and optimization applications. Each contribution is self-contained and has a thorough bibliography. The topics include renewal processes, semi-Markov processes, Markovian deterioration models, maintenance and replacement models, software reliability models and Monte-Carlo simulation. This book provides researchers, reliability engineers and graduate students with the current status of the field and future developments of the subject.

Author : Jensen Kahle
Publisher : Springer Science & Business Media
Page : 390 pages
File Size : 28,89 MB
Release : 2012-12-06
Category : Mathematics
ISBN : 1461222346

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Fast technological development produces systems of ever-increasing complex ity. The demand for reliable functioning of these systems has become more and more important. Thus, there is a need for highly reliable technical devices and systems, for monitoring and controlling their functioning and for planning maintenance and corrective actions to fulfill given requirements considering eco nomic limitations. These tasks reflect the wide field of engineering activities that are accompa nied by and based on a wide range of stochastical models. The book presents the main contributions to a workshop on Stochastic Models of Reliability, Qual ity, and Safety held in Schierke near Magdeburg, Germany. This workshop was part of a series of meetings that take place every two years organized by the Society of Reliability, Quality and Safety. The basic idea of these workshops is to bring together theorists, applied statisticians, and practitioners to exchange experiences and ideas of common interest. The book contains recent results in reliability and related fields. The presentation aims at making at least a part of the results accessible to engineers.

Author : Liudong Xing
Publisher : Elsevier
Page : 375 pages
File Size : 45,74 MB
Release : 2024-04-14
Category : Technology & Engineering
ISBN : 0443156115

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Reliability and Resilience in the Internet of Things explains the latest advances in reliability modelling, analysis, and design techniques for IoT systems. Over the past decade IoT has developed rapidly, and it now spans diverse application domains such as healthcare, home automation, smart manufacture, and smart agriculture. Due to the critical nature of these IoT applications, it is imperative that these systems operate reliably throughout the intended mission time. This timely book provides state-of-the-art coverage on IoT reliability modeling, analysis, and design methods and solutions to help prevent costly malfunctions such as: Failures to capture critical data Network outages Data corruption or loss during transmission or storage From the viewpoint of engineers, researchers, and developers, reliability analysis and design are key to the deployment of IoT systems in critical applications, and this book contains the best advice on the subject available. Addresses several IoT applications with case studies Explores solutions in the contexts of IoT-layered architecture as well as cross-layer interactions and dependencies Explains fundamentals of IoT technology in terms of reliability and resilience

Author : Amit Kumar
Publisher : Academic Press
Page : 522 pages
File Size : 17,71 MB
Release : 2021-01-09
Category : Mathematics
ISBN : 0128231580

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The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling discusses the many factors affect reliability and performance, including engineering design, materials, manufacturing, operations, maintenance, and many more. Reliability is one of the fundamental criteria in engineering systems design, with maintenance serving as a way to support reliability throughout a system’s life. Addressing these issues requires information, modeling, analysis and testing. Different techniques are proposed and implemented to help readers analyze various behavior measures (in terms of the functioning and performance) of systems. Enables mathematicians to convert any process or system into a model that can be analyzed through a specific technique Examines reliability and mathematical modeling in a variety of disciplines, unlike competitors which typically examine only one Includes a table of contents with simple to complex examples, starting with basic models and then refining modeling approaches step-by-step

Author : Alla G. Kravets
Publisher : Springer Nature
Page : 277 pages
File Size : 29,68 MB
Release : 2022-03-29
Category : Technology & Engineering
ISBN : 3030951162

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This book is devoted to intelligent models and algorithms as the core components of cyber-physical systems. The complexity of cyber-physical systems developing and deploying requires new approaches to its modelling and design. Presents results in the field of modelling technologies that leverage the exploitation of artificial intelligence, including artificial general intelligence (AGI) and weak artificial intelligence. Provides scientific, practical, and methodological approaches based on bio-inspired methods, fuzzy models and algorithms, predictive modelling, computer vision and image processing. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research or applications of intelligent models and algorithms in cyber-physical systems for various domains.

Author : Syouji Nakamura
Publisher : World Scientific
Page : 317 pages
File Size : 21,82 MB
Release : 2010
Category : Mathematics
ISBN : 9814277444

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Aims to survey research topics in reliability theory and useful applied techniques in reliability engineering. This book focuses on how to apply the results of reliability theory to practical models. Theoretical results of coherent, inspection, and damage systems are summarized methodically, using the techniques of stochastic processes.