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Stochastic Models in Reliability and Maintenance
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Stochastic Models in Reliability and Maintenance
Stochastic Models in Reliability and Maintenance
物品 #: 268110524

Stochastic Models in Reliability and Maintenance

物品 #: 268110524

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  • 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.
Publisher Springer
Publication date 2 Nov. 2012
Edition Softcover reprint of hardcover 1st ed. 2002
Language English
File size 3.8 MB
Enhanced typesetting Not Enabled
X-Ray Not Enabled
Word Wise Not Enabled
Print length 350 pages
ISBN-13 978-3540248088
Page Flip Not Enabled
Item Weight1 lbs (450 grams)

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Stochastic Models in Reliability and Maintenance

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