Stochastic Reliability And Maintenance Modeling PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Stochastic Reliability And Maintenance Modeling PDF full book. Access full book title Stochastic Reliability And Maintenance Modeling.
| Author | : Tadashi Dohi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 375 |
| Release | : 2013-04-18 |
| Genre | : Technology & Engineering |
| ISBN | : 1447149718 |
Download Stochastic Reliability and Maintenance Modeling Book in PDF, ePub and Kindle
In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance evaluation, software engineering, communication engineering, distinguished researchers review and build on the contributions over the last four decades by Professor Shunji Osaki. Fundamental yet significant research results are presented and discussed clearly alongside new ideas and topics on stochastic reliability and maintenance modeling to inspire future research. Across 15 chapters readers gain the knowledge and understanding to apply reliability and maintenance theory to computer and communication systems. Stochastic Reliability and Maintenance Modeling is ideal for graduate students and researchers in reliability engineering, and workers, managers and engineers engaged in computer, maintenance and management works.
| Author | : Shunji Osaki |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 338 |
| Release | : 2012-11-02 |
| Genre | : Mathematics |
| ISBN | : 3540248080 |
Download Stochastic Models in Reliability and Maintenance Book in PDF, ePub and Kindle
Our daily lives can be maintained by the high-technology systems. Computer systems are typical examples of such systems. We can enjoy our modern lives by using many computer systems. Much more importantly, we have to maintain such systems without failure, but cannot predict when such systems will fail and how to fix such systems without delay. A stochastic process is a set of outcomes of a random experiment indexed by time, and is one of the key tools needed to analyze the future behavior quantitatively. Reliability and maintainability technologies are of great interest and importance to the maintenance of such systems. Many mathematical models have been and will be proposed to describe reliability and maintainability systems by using the stochastic processes. The theme of this book is "Stochastic Models in Reliability and Main tainability. " This book consists of 12 chapters on the theme above from the different viewpoints of stochastic modeling. Chapter 1 is devoted to "Renewal Processes," under which classical renewal theory is surveyed and computa tional methods are described. Chapter 2 discusses "Stochastic Orders," and in it some definitions and concepts on stochastic orders are described and ag ing properties can be characterized by stochastic orders. Chapter 3 is devoted to "Classical Maintenance Models," under which the so-called age, block and other replacement models are surveyed. Chapter 4 discusses "Modeling Plant Maintenance," describing how maintenance practice can be carried out for plant maintenance.
| Author | : Syouji Nakamura |
| Publisher | : World Scientific |
| Total Pages | : 317 |
| Release | : 2010 |
| Genre | : Mathematics |
| ISBN | : 9814277436 |
Download Stochastic Reliability Modeling, Optimization and Applications Book in PDF, ePub and Kindle
"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 | : Lirong Cui |
| Publisher | : CRC Press |
| Total Pages | : 464 |
| Release | : 2020-07-29 |
| Genre | : Mathematics |
| ISBN | : 1000094596 |
Download Stochastic Models in Reliability Engineering Book in PDF, ePub and Kindle
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, 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, experiments, and applied probability and statistics.
| Author | : Alessandro Birolini |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 113 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 3642465536 |
Download On the Use of Stochastic Processes in Modeling Reliability Problems Book in PDF, ePub and Kindle
Stochastic processes are powerful tools for the investigation of reliability and availability of repairable equipment and systems. Because of the involved models, and in order to be mathematically tractable, these processes are generally confined to the class of regenerative stochastic processes with a finite state space, to which belong: renewal processes, Markov processes, semi-Markov processes, and more general regenerative processes with only one (or a few) regeneration staters). The object of this monograph is to review these processes and to use them in solving some reliability problems encountered in practical applications. Emphasis is given to a comprehensive exposition of the analytical procedures, to the limitations in volved, and to the unification and extension of. the models known in the literature. The models investigated here assume. that systems have only one repair crew and that no further failure can occur at system down. Repair and failure rates are general ized step-by-step, up to the case in which the involved process is regenerative with only one (or a few) regeneration state(s). Investigations deal with different kinds of reliabilities and availabilities for series/parallel structures. Preventive main tenance and imperfect switching are considered in some examples.
| Author | : Terje Aven |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 280 |
| Release | : 2008-01-08 |
| Genre | : Mathematics |
| ISBN | : 0387225935 |
Download Stochastic Models in Reliability Book in PDF, ePub and Kindle
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.
| Author | : Maxim Finkelstein |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 397 |
| Release | : 2013-04-12 |
| Genre | : Technology & Engineering |
| ISBN | : 1447150287 |
Download Stochastic Modeling for Reliability Book in PDF, ePub and Kindle
Focusing on shocks modeling, burn-in and heterogeneous populations, Stochastic Modeling for Reliability naturally combines these three topics in the unified stochastic framework and presents numerous practical examples that illustrate recent theoretical findings of the authors. The populations of manufactured items in industry are usually heterogeneous. However, the conventional reliability analysis is performed under the implicit assumption of homogeneity, which can result in distortion of the corresponding reliability indices and various misconceptions. Stochastic Modeling for Reliability fills this gap and presents the basics and further developments of reliability theory for heterogeneous populations. Specifically, the authors consider burn-in as a method of elimination of ‘weak’ items from heterogeneous populations. The real life objects are operating in a changing environment. One of the ways to model an impact of this environment is via the external shocks occurring in accordance with some stochastic point processes. The basic theory for Poisson shock processes is developed and also shocks as a method of burn-in and of the environmental stress screening for manufactured items are considered. Stochastic Modeling for Reliability introduces and explores the concept of burn-in in heterogeneous populations and its recent development, providing a sound reference for reliability engineers, applied mathematicians, product managers and manufacturers alike.
| Author | : Shunji Osaki |
| Publisher | : |
| Total Pages | : 352 |
| Release | : 2014-01-15 |
| Genre | : |
| ISBN | : 9783642534850 |
Download Stochastic Models in Reliability and Maintenance Book in PDF, ePub and Kindle
| Author | : Toshio Nakagawa |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 254 |
| Release | : 2011-05-27 |
| Genre | : Technology & Engineering |
| ISBN | : 0857292749 |
Download Stochastic Processes Book in PDF, ePub and Kindle
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 | : Toshio Nakagawa |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 191 |
| Release | : 2007-02-01 |
| Genre | : Technology & Engineering |
| ISBN | : 1846284422 |
Download Shock and Damage Models in Reliability Theory Book in PDF, ePub and Kindle
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.
