Stochastic Models in Reliability and Maintenance:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2002
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 Maintainability. " 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 computational methods are described. Chapter 2 discusses "Stochastic Orders," and in it some definitions and concepts on stochastic orders are described and aging 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 |
| Beschreibung: | 1 Online-Ressource (XII, 338 p) |
| ISBN: | 9783540248088 9783642077258 |
| DOI: | 10.1007/978-3-540-24808-8 |
Internformat
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| 500 | |a 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 Maintainability. " 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 computational methods are described. Chapter 2 discusses "Stochastic Orders," and in it some definitions and concepts on stochastic orders are described and aging 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 | ||
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Datensatz im Suchindex
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| id | DE-604.BV042422394 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:11Z |
| institution | BVB |
| isbn | 9783540248088 9783642077258 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027857811 |
| oclc_num | 864027871 |
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| physical | 1 Online-Ressource (XII, 338 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 2002 |
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| publisher | Springer Berlin Heidelberg |
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| spelling | Osaki, Shunji edt Stochastic Models in Reliability and Maintenance edited by Shunji Osaki Berlin, Heidelberg Springer Berlin Heidelberg 2002 1 Online-Ressource (XII, 338 p) txt rdacontent c rdamedia cr rdacarrier 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 Maintainability. " 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 computational methods are described. Chapter 2 discusses "Stochastic Orders," and in it some definitions and concepts on stochastic orders are described and aging 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 Mathematics Distribution (Probability theory) Industrial engineering Operations research Probability Theory and Stochastic Processes Operation Research/Decision Theory Industrial and Production Engineering Mathematik https://doi.org/10.1007/978-3-540-24808-8 Verlag Volltext |
| spellingShingle | Stochastic Models in Reliability and Maintenance Mathematics Distribution (Probability theory) Industrial engineering Operations research Probability Theory and Stochastic Processes Operation Research/Decision Theory Industrial and Production Engineering Mathematik |
| title | Stochastic Models in Reliability and Maintenance |
| title_auth | Stochastic Models in Reliability and Maintenance |
| title_exact_search | Stochastic Models in Reliability and Maintenance |
| title_full | Stochastic Models in Reliability and Maintenance edited by Shunji Osaki |
| title_fullStr | Stochastic Models in Reliability and Maintenance edited by Shunji Osaki |
| title_full_unstemmed | Stochastic Models in Reliability and Maintenance edited by Shunji Osaki |
| title_short | Stochastic Models in Reliability and Maintenance |
| title_sort | stochastic models in reliability and maintenance |
| topic | Mathematics Distribution (Probability theory) Industrial engineering Operations research Probability Theory and Stochastic Processes Operation Research/Decision Theory Industrial and Production Engineering Mathematik |
| topic_facet | Mathematics Distribution (Probability theory) Industrial engineering Operations research Probability Theory and Stochastic Processes Operation Research/Decision Theory Industrial and Production Engineering Mathematik |
| url | https://doi.org/10.1007/978-3-540-24808-8 |
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