Stochastic Models in Reliability and Maintenance

Stochastic Models in Reliability and Maintenance
Author :
Publisher : Springer Science & Business Media
Total Pages : 338
Release :
ISBN-13 : 9783540248088
ISBN-10 : 3540248080
Rating : 4/5 (80 Downloads)

Book Synopsis Stochastic Models in Reliability and Maintenance by : Shunji Osaki

Download or read book Stochastic Models in Reliability and Maintenance written by Shunji Osaki and published by Springer Science & Business Media. This book was released on 2012-11-02 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Stochastic Models in Reliability and Maintenance Related Books

Stochastic Models in Reliability and Maintenance
Language: en
Pages: 338
Authors: Shunji Osaki
Categories: Mathematics
Type: BOOK - Published: 2012-11-02 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

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
Stochastic Reliability and Maintenance Modeling
Language: en
Pages: 375
Authors: Tadashi Dohi
Categories: Technology & Engineering
Type: BOOK - Published: 2013-04-18 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing rese
Stochastic Reliability Modeling, Optimization And Applications
Language: en
Pages: 317
Authors: Syouji Nakamura
Categories: Mathematics
Type: BOOK - Published: 2009-11-12 - Publisher: World Scientific

DOWNLOAD EBOOK

Reliability theory and applications become major concerns of engineers and managers engaged in making high quality products and designing highly reliable system
On the Use of Stochastic Processes in Modeling Reliability Problems
Language: en
Pages: 113
Authors: Alessandro Birolini
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Stochastic processes are powerful tools for the investigation of reliability and availability of repairable equipment and systems. Because of the involved model
Stochastic Models in Reliability Engineering
Language: en
Pages: 402
Authors: Lirong Cui
Categories: Mathematics
Type: BOOK - Published: 2020-09-01 - Publisher: CRC Press

DOWNLOAD EBOOK

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