Point processes for reliability analysis : shocks and repairable systems / Ji Hwan Cha, Maxim Finkelstein.
2018
QA274.42
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Title
Point processes for reliability analysis : shocks and repairable systems / Ji Hwan Cha, Maxim Finkelstein.
Author
ISBN
9783319735405 (electronic book)
3319735403 (electronic book)
9783319735399
331973539X
3319735403 (electronic book)
9783319735399
331973539X
Published
Cham, Switzerland : Springer, 2018.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-319-73540-5 doi
Call Number
QA274.42
Dewey Decimal Classification
519.2/3
Summary
Focusing on the theory and applications of point processes, Point Processes for Reliability Analysis naturally combines classical results on the basic and advanced properties of point processes with recent theoretical findings of the authors. It also presents numerous examples that illustrate how general results and approaches are applied to stochastic description of repairable systems and systems operating in a random environment modelled by shock processes. The real life objects are operating in a changing, random 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 Poisson (homogeneous and nonhomogeneous) process, the renewal process and their generalizations are considered as models for external shocks affecting an operating system. At the same time these processes model the consecutive failure/repair times of repairable engineering systems. Perfect, minimal and intermediate (imperfect) repairs are discussed in this respect. Covering material previously available only in the journal literature, Point Processes for Reliability Analysis provides a survey of recent developments in this area which will be invaluable to researchers and advanced students in reliability engineering and applied mathematics.
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Includes bibliographical references.
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Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (viewed January 26, 2018).
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Series
Springer series in reliability engineering.
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