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Author : Toshio Nakagawa
Publisher : Unknown
Page : 0 pages
File Size : 49,9 Mb
Release : 2007
Category : Reliability (Engineering)
ISBN : OCLC:833820563
Author : Toshio Nakagawa
Publisher : Springer
Page : 188 pages
File Size : 40,8 Mb
Release : 2006-12-08
Category : Technology & Engineering
ISBN : 1846284414
This is the first monograph which presents shock and damage models in reliability from introduction to application. Stochastic processes are introduced before current developments are surveyed. The practical applications of shock and damage models are demonstrated using case studies. The author is a leading researcher in this field with more than thirty years of experience. Reliability engineers and managers of maintenance work will find this book a broad reference.
Author : Toshio Nakagawa
Publisher : Springer Science & Business Media
Page : 191 pages
File Size : 52,6 Mb
Release : 2007-02-01
Category : Technology & Engineering
ISBN : 9781846284427
This is the first monograph which presents shock and damage models in reliability from introduction to application. Stochastic processes are introduced before current developments are surveyed. The practical applications of shock and damage models are demonstrated using case studies. The author is a leading researcher in this field with more than thirty years of experience. Reliability engineers and managers of maintenance work will find this book a broad reference.
Author : Xufeng Zhao,Toshio Nakagawa
Publisher : Springer
Page : 285 pages
File Size : 41,6 Mb
Release : 2017-11-15
Category : Computers
ISBN : 9783319704562
This book surveys the recent development of maintenance theory, advanced maintenance techniques with shock and damage models, and their applications in computer systems dealing with efficiency problems. It also equips readers to handle multiple maintenance, informs maintenance policies, and explores comparative methods for several different kinds of maintenance. Further, it discusses shock and damage modelling as an important failure mechanism for reliability systems, and extensively explores the degradation processes, failure modes, and maintenance characteristics of modern, highly complex systems, especially for some key mechanical systems designed for specific tasks.
Author : Ioannis S. Trianntafyllou,Mangey Ram
Publisher : CRC Press
Page : 246 pages
File Size : 48,6 Mb
Release : 2022-09-27
Category : Technology & Engineering
ISBN : 9781000614725
This reference text introduces advanced topics in the field of reliability engineering, introduces statistical modeling techniques, and probabilistic methods for diverse applications. It comprehensively covers important topics including consecutive-type reliability systems, coherent structures, multi-scale statistical modeling, the performance of reliability structures, big data analytics, prognostics, and health management. It covers real-life applications including optimization of telecommunication networks, complex infrared detecting systems, oil pipeline systems, and vacuum systems in accelerators or spacecraft relay stations. The text will serve as an ideal reference book for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mathematics, and statistics.
Author : Satoshi Mizutani,Xufeng Zhao,Toshio Nakagawa
Publisher : Springer Nature
Page : 281 pages
File Size : 50,6 Mb
Release : 2023
Category : Reliability (Engineering)
ISBN : 9783031273162
This is the first book on the Which-Is-Better (WIB) Problem. These are questions that in daily life include such as Which is larger, younger and stronger?". The main objective of this book is summarizing WIB Problems in maintenance and reliability theory. Optimal policies of replacement first, last and overtime are derived and compared theoretically and numerically, and WIB policies are determined. Furthermore, the reliability properties of parallel and standby systems are compared, and WIB system is determined. These WIB Problems are applied to shock and damage models and backup and checkpoint models of computer systems.
Author : Syouji Nakamura,Toshio Nakagawa
Publisher : World Scientific
Page : 317 pages
File Size : 55,7 Mb
Release : 2010
Category : Mathematics
ISBN : 9789814277433
"Reliability theory and applications become major concerns of engineers and managers engaged in making high quality products and designing highly reliable systems. This book aims to survey new research topics in reliability theory and useful applied techniques in reliability engineering." "The reader will learn new topics and techniques, and how to apply reliability models to actual ones. The book will serve as an essential guide to a subject of study for graduate students and researchers and as a useful guide for reliability engineers engaged not only in maintenance work but also in management and computer works." --Book Jacket.
Author : Toshio Nakagawa
Publisher : Springer Science & Business Media
Page : 254 pages
File Size : 45,7 Mb
Release : 2011-05-27
Category : Technology & Engineering
ISBN : 9780857292742
Reliability theory is of fundamental importance for engineers and managers involved in the manufacture of high-quality products and the design of reliable systems. In order to make sense of the theory, however, and to apply it to real systems, an understanding of the basic stochastic processes is indispensable. As well as providing readers with useful reliability studies and applications, Stochastic Processes also gives a basic treatment of such stochastic processes as: the Poisson process, the renewal process, the Markov chain, the Markov process, and the Markov renewal process. Many examples are cited from reliability models to show the reader how to apply stochastic processes. Furthermore, Stochastic Processes gives a simple introduction to other stochastic processes such as the cumulative process, the Wiener process, the Brownian motion and reliability applications. Stochastic Processes is suitable for use as a reliability textbook by advanced undergraduate and graduate students. It is also of interest to researchers, engineers and managers who study or practise reliability and maintenance.
Author : Mitsutaka Kimura,Satoshi Mizutani,Mitsuhiro Imaizumi,Kodo Ito
Publisher : CRC Press
Page : 373 pages
File Size : 53,5 Mb
Release : 2023-04-27
Category : Technology & Engineering
ISBN : 9781000849257
Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area that can be applied to every technical and management field. Reliability and Maintenance Modeling with Optimization: Advances and Applications aims at providing the most recent advances and achievements in reliability and maintenance. The book discusses replacement, repair, and inspection, offers estimation and statistical tests, covers accelerated life testing, explores warranty analysis manufacturing, and includes service reliability. The targeted readers are researchers interested in reliability and maintenance engineering. The book can serve as supplemental reading in professional seminars for engineers, designers, project managers, and graduate students.
Author : Mohamed Abdel-Hameed
Publisher : Academic Press
Page : 318 pages
File Size : 42,6 Mb
Release : 2012-12-02
Category : Business & Economics
ISBN : 9780323140652
Reliability Theory and Models: Stochastic Failure Models, Optimal Maintenance Policies, Life Testing, and Structures contains the proceedings of a Symposium on Stochastic Failure Models, Replacement and Maintenance Policies, and Accelerated Life Testing, held in Charlotte, North Carolina, on June 24-26, 1983. Contributors discuss the directions for research on stochastic failure models and maintenance and replacement policies, as well as statistical and computational aspects of reliability. This text is divided into five sections and is comprised of 17 chapters; the first of which introduces the reader to Markov and semi-Markov models of deterioration in light of the results on representation and characterization of Markov processes. The discussion then turns to the concept of minimal repair; situations in which the appropriate stochastic process is a damage or wear process; and optimum policies for several maintenance models based on the imperfect repair model of Brown and Proschan. The chapters that follow explore optimal replacement for self-repairing shock models; the implementation of an iterative scheme for certain Markovian wear/damage models; and a Markov decision model for determining the optimal inventories of repairable spare parts for redundant systems. This book also considers the reliability and maintenance of very large complex systems from the perspective of the U.S. Air Force. This reference material will be of interest to students and active researchers in the fields of mathematics and engineering.
Author : Marko Cepin,Radim Bris
Publisher : CRC Press
Page : 3668 pages
File Size : 51,7 Mb
Release : 2017-06-14
Category : Technology & Engineering
ISBN : 9781351809733
Safety and Reliability – Theory and Applications contains the contributions presented at the 27th European Safety and Reliability Conference (ESREL 2017, Portorož, Slovenia, June 18-22, 2017). The book covers a wide range of topics, including: • Accident and Incident modelling • Economic Analysis in Risk Management • Foundational Issues in Risk Assessment and Management • Human Factors and Human Reliability • Maintenance Modeling and Applications • Mathematical Methods in Reliability and Safety • Prognostics and System Health Management • Resilience Engineering • Risk Assessment • Risk Management • Simulation for Safety and Reliability Analysis • Structural Reliability • System Reliability, and • Uncertainty Analysis. Selected special sessions include contributions on: the Marie Skłodowska-Curie innovative training network in structural safety; risk approaches in insurance and fi nance sectors; dynamic reliability and probabilistic safety assessment; Bayesian and statistical methods, reliability data and testing; oganizational factors and safety culture; software reliability and safety; probabilistic methods applied to power systems; socio-technical-economic systems; advanced safety assessment methodologies: extended Probabilistic Safety Assessment; reliability; availability; maintainability and safety in railways: theory & practice; big data risk analysis and management, and model-based reliability and safety engineering. Safety and Reliability – Theory and Applications will be of interest to professionals and academics working in a wide range of industrial and governmental sectors including: Aeronautics and Aerospace, Automotive Engineering, Civil Engineering, Electrical and Electronic Engineering, Energy Production and Distribution, Environmental Engineering, Information Technology and Telecommunications, Critical Infrastructures, Insurance and Finance, Manufacturing, Marine Industry, Mechanical Engineering, Natural Hazards, Nuclear Engineering, Offshore Oil and Gas, Security and Protection, Transportation, and Policy Making.
Author : Marvin Rausand,Anne Barros,Arnljot Hoyland
Publisher : John Wiley & Sons
Page : 864 pages
File Size : 41,8 Mb
Release : 2020-10-20
Category : Technology & Engineering
ISBN : 9781119373957
Handbook and reference for industrial statisticians and system reliability engineers System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition presents an updated and revised look at system reliability theory, modeling, and analytical methods. The new edition is based on feedback to the second edition from numerous students, professors, researchers, and industries around the world. New sections and chapters are added together with new real-world industry examples, and standards and problems are revised and updated. System Reliability Theory covers a broad and deep array of system reliability topics, including: · In depth discussion of failures and failure modes · The main system reliability assessment methods · Common-cause failure modeling · Deterioration modeling · Maintenance modeling and assessment using Python code · Bayesian probability and methods · Life data analysis using R Perfect for undergraduate and graduate students taking courses in reliability engineering, this book also serves as a reference and resource for practicing statisticians and engineers. Throughout, the book has a practical focus, incorporating industry feedback and real-world industry problems and examples.
Author : Kodo Ito,Toshio Nakagawa
Publisher : Springer Nature
Page : 266 pages
File Size : 42,7 Mb
Release : 2023-02-28
Category : Technology & Engineering
ISBN : 9783031220210
This book surveys recent applications of inspection models, maintenance models and cumulative damage models, as well as discusses the policies involved with these models. It explains how a stochastic approach can be applied to systems using real-world examples. The book begins by introducing and summarizing standard inspection models. It dedicates chapters to random inspection models and general inspection models, before moving on to discuss inspection policies and checkpoint models. The book discusses inspection of reliability systems, such as missile maintenance systems, as well as Markov models of inspection. The book concludes with a summary of other inspection models, problems they face, and solutions to these problems. Each chapter utilizes examples to illustrate the various models, methods, and policies. This book is of interest to engineering students, researchers, and design and production engineers working in system manufacturing.
Author : Arnab Kumar Laha
Publisher : Springer Nature
Page : 236 pages
File Size : 46,9 Mb
Release : 2021-06-08
Category : Business & Economics
ISBN : 9789813366565
This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts, and consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The book is conceptually divided in seven parts. The first part gives expository briefs on some topics of current academic and practitioner interests, such as data streams, binary prediction and reliability shock models. In the second part, the contributions look at artificial intelligence applications with chapters related to explainable AI, personalized search and recommendation, and customer retention management. The third part deals with credit risk analytics, with chapters on optimization of credit limits and mitigation of agricultural lending risks. In its fourth part, the book explores analytics and data mining in the retail context. In the fifth part, the book presents some applications of analytics to operations management. This part has chapters related to improvement of furnace operations, forecasting food indices and analytics for improving student learning outcomes. The sixth part has contributions related to adaptive designs in clinical trials, stochastic comparisons of systems with heterogeneous components and stacking of models. The seventh and final part contains chapters related to finance and economics topics, such as role of infrastructure and taxation on economic growth of countries and connectedness of markets with heterogenous agents, The different themes ensure that the book would be of great value to practitioners, post-graduate students, research scholars and faculty teaching advanced business analytics courses.
Author : Syouji Nakamura,Cun Hua Qian,Mingchih Chen
Publisher : World Scientific
Page : 380 pages
File Size : 43,6 Mb
Release : 2013-12-12
Category : Technology & Engineering
ISBN : 9789814571951
Reliability modeling has been a major concern for engineers and managers engaged in high quality system designs. This book presents the recent advancement in reliability theory and reliability engineering. Starting from maintenance policies, the book introduces reliability analysis to systems using stochastic processes to study their optimization problems. In this book, the authors will illustrate how these techniques of reliability are applied to solve optimization problems in computer, information and network systems. Contents:Maintenance Policies:A Dynamic Programming Approach for Sequential Preventive Maintenance Policies with Two Failure Modes (Hiroyuki Okamura, Tadashi Dohi and Shunji Osaki)Selective Maintenance for Complex Systems Considering Imperfect Maintenance Efficiency (Mayank Pandey, Yu Liu, Ming J Zuo)Random Replacement Policies (Won Young Yun and Li Liu)Optimal Replacement Interval of a Dual System (Satoshi Mizutani)Cumulative Damage Models with Random Working Times (Xufeng Zhao, Cunhua Qian and Shey-Huei Sheu)Reliability Analysis:Modules of Multi-State Coherent Systems — Order Theoretical Relations (Fumio Ohi)Calculation Algorithms for the System State Distributions of Multi-State k-out-of-n Systems (Hisahi Yamamoto and Tomoaki Akiba)Multi-state Components Assignment Problem with Optimal Network Reliability Subject to Assignment Budget (Yi-Kuei Lin and Cheng-Ta Yeh)Reliability Analysis of a Server System with Replication Schemes (Mitsutaka Kimura)Computer Systems:Two-Dimensional Software Reliability Growth Models (Shinji Inoue and Shigeru Yamada)Hybrid Coordinated Checkpointing Technique Using Incremental Snapshots (Mamoru Ohara, Masayuki Arai, Satoshi Fukumoto and Kazuhiko Iwasaki)Predicting Effort and Errors for Embedded Software Development Projects by Using an Artificial Neural Network (Kazunori Iwata, Sayori Maeji and Toshio Nakagawa)Optimal Checkpoint Times for Database Systems (Kenichiro Naruse and Sayori Maeji)Periodic and Random Inspections for a Computer System (Mingchih Chen, Xufeng Zhao and Syouji Nakamura)Reliability Applications:Dynamic Fault Tree Analysis (Tetsushi Yuge and Shigeru Yanagi)Reliability Analysis and Modeling Technique for an Open Source Solution (Yoshinobu Tamura and Shigeru Yamada)Maintenance Models of Miscellaneous Systems (Kodo Ito)Reliability Analysis of a System Connected with the Radio Link (Mitsuhiro Imaizumi)Studies on Reliability and Maintenance:Studies on Reliability and Maintenance (Toshio Nakagawa) Readership: Undergraduates and postgraduate students, researchers and designers in the areas of optimization, mathematical modeling, stochastic analysis and industrial engineering. Keywords:Reliability;Maintenance;Optimization;Stochastic;Probability;Modeling;Damage;Computer
