Applied reliability engineering and risk analysis: probabilistic models and statistical inference
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Chichester, West Sussex
Wiley
2014
|
| Ausgabe: | 1. ed. |
| Schriftenreihe: | Wiley series in quality and reliability engineering
|
| Schlagworte: | |
| Online-Zugang: | FRO01 UBT01 Volltext |
| Beschreibung: | Online-Ausg. 2013 erschienen "This book presents the latest developments in the field of reliability science focusing on applied reliability, probabilistic models and risk analysis. It provides readers with the most up-to-date developments in this field and consolidates research activities in several areas of applied reliability engineering. The publication is timed to commemorate Boris Gnedenko's centennial by bringing together leading researchers, scientists, and practitioners in the field of Prof. Gnednko's expertise. The Introduction, written by Prof. Igor Ushakov, a personal friend and a colleague of Boris Gnedenko, explains the significant impact and contribution Gnedenko's work made on the reliability theory and the modern reliability practice. The book covers conventional and contemporary (recently emerged) topics in reliability science, which have seen extended research activities in the recent years. These topics include: degradation analysis and multi-state system reliability; networks and large scale systems; maintenance models; statistical inference in reliability, and; physics of failures and reliability demonstration. All of these topics present a great interest to researchers and practitioners, having been extensively researched in the past years and covered at a large number of international conferences and in a multitude of journal articles. This book pulls together this information with a coherent flow of chapters, and is written by the lead scientists, researchers and practitioners in their respective fields. Logically divided into five sections, each contains several chapters covering theoretical and practical issues, while case studies support the topics under discussion"-- |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781118701881 9781118701898 9781118701935 9781118701942 |
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Datensatz im Suchindex
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| contents | Pt. I. Degradation analysis, multi-state and continuous-state system reliability -- pt. II. Networks and large-scale systems -- pt. III. Maintenance models -- pt. IV. Statistical inference in reliability -- pt. V. Systemability, physics-of-failure and reliability demonstration |
| ctrlnum | (OCoLC)849801368 (DE-599)BVBBV041829296 |
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
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| dewey-search | 620/.00452 |
| dewey-sort | 3620 3452 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Technik |
| edition | 1. ed. |
| format | Electronic eBook |
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| id | DE-604.BV041829296 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:06:22Z |
| institution | BVB |
| isbn | 9781118701881 9781118701898 9781118701935 9781118701942 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027274215 |
| oclc_num | 849801368 |
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| physical | 1 Online-Ressource |
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| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Wiley |
| record_format | marc |
| series2 | Wiley series in quality and reliability engineering |
| spelling | Applied reliability engineering and risk analysis probabilistic models and statistical inference editors: Ilia B. Frenkel, Alex Karagrigoriou, Anatoly Lisnianski, Andre Kleyner 1. ed. Chichester, West Sussex Wiley 2014 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Wiley series in quality and reliability engineering Online-Ausg. 2013 erschienen "This book presents the latest developments in the field of reliability science focusing on applied reliability, probabilistic models and risk analysis. It provides readers with the most up-to-date developments in this field and consolidates research activities in several areas of applied reliability engineering. The publication is timed to commemorate Boris Gnedenko's centennial by bringing together leading researchers, scientists, and practitioners in the field of Prof. Gnednko's expertise. The Introduction, written by Prof. Igor Ushakov, a personal friend and a colleague of Boris Gnedenko, explains the significant impact and contribution Gnedenko's work made on the reliability theory and the modern reliability practice. The book covers conventional and contemporary (recently emerged) topics in reliability science, which have seen extended research activities in the recent years. These topics include: degradation analysis and multi-state system reliability; networks and large scale systems; maintenance models; statistical inference in reliability, and; physics of failures and reliability demonstration. All of these topics present a great interest to researchers and practitioners, having been extensively researched in the past years and covered at a large number of international conferences and in a multitude of journal articles. This book pulls together this information with a coherent flow of chapters, and is written by the lead scientists, researchers and practitioners in their respective fields. Logically divided into five sections, each contains several chapters covering theoretical and practical issues, while case studies support the topics under discussion"-- Pt. I. Degradation analysis, multi-state and continuous-state system reliability -- pt. II. Networks and large-scale systems -- pt. III. Maintenance models -- pt. IV. Statistical inference in reliability -- pt. V. Systemability, physics-of-failure and reliability demonstration TECHNOLOGY & ENGINEERING / Quality Control bisacsh TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh TECHNOLOGY & ENGINEERING / Reference bisacsh Reliability (Engineering) fast Risk assessment / Mathematical models fast Mathematisches Modell Reliability (Engineering) Risk assessment / Mathematical models Zuverlässigkeit (DE-588)4059245-5 gnd rswk-swf Technisches System (DE-588)4126276-1 gnd rswk-swf Zuverlässigkeit (DE-588)4059245-5 s Technisches System (DE-588)4126276-1 s DE-604 Frenkel, Ilia B. Sonstige oth Karagrigoriou, Alex Sonstige oth Lisnianski, Anatoly Sonstige oth Kleyner, Andre Sonstige oth Erscheint auch als Druckausgabe 978-1-118-53942-2 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118701881 Verlag Volltext |
| spellingShingle | Applied reliability engineering and risk analysis probabilistic models and statistical inference Pt. I. Degradation analysis, multi-state and continuous-state system reliability -- pt. II. Networks and large-scale systems -- pt. III. Maintenance models -- pt. IV. Statistical inference in reliability -- pt. V. Systemability, physics-of-failure and reliability demonstration TECHNOLOGY & ENGINEERING / Quality Control bisacsh TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh TECHNOLOGY & ENGINEERING / Reference bisacsh Reliability (Engineering) fast Risk assessment / Mathematical models fast Mathematisches Modell Reliability (Engineering) Risk assessment / Mathematical models Zuverlässigkeit (DE-588)4059245-5 gnd Technisches System (DE-588)4126276-1 gnd |
| subject_GND | (DE-588)4059245-5 (DE-588)4126276-1 |
| title | Applied reliability engineering and risk analysis probabilistic models and statistical inference |
| title_auth | Applied reliability engineering and risk analysis probabilistic models and statistical inference |
| title_exact_search | Applied reliability engineering and risk analysis probabilistic models and statistical inference |
| title_full | Applied reliability engineering and risk analysis probabilistic models and statistical inference editors: Ilia B. Frenkel, Alex Karagrigoriou, Anatoly Lisnianski, Andre Kleyner |
| title_fullStr | Applied reliability engineering and risk analysis probabilistic models and statistical inference editors: Ilia B. Frenkel, Alex Karagrigoriou, Anatoly Lisnianski, Andre Kleyner |
| title_full_unstemmed | Applied reliability engineering and risk analysis probabilistic models and statistical inference editors: Ilia B. Frenkel, Alex Karagrigoriou, Anatoly Lisnianski, Andre Kleyner |
| title_short | Applied reliability engineering and risk analysis |
| title_sort | applied reliability engineering and risk analysis probabilistic models and statistical inference |
| title_sub | probabilistic models and statistical inference |
| topic | TECHNOLOGY & ENGINEERING / Quality Control bisacsh TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh TECHNOLOGY & ENGINEERING / Reference bisacsh Reliability (Engineering) fast Risk assessment / Mathematical models fast Mathematisches Modell Reliability (Engineering) Risk assessment / Mathematical models Zuverlässigkeit (DE-588)4059245-5 gnd Technisches System (DE-588)4126276-1 gnd |
| topic_facet | TECHNOLOGY & ENGINEERING / Quality Control TECHNOLOGY & ENGINEERING / Engineering (General) TECHNOLOGY & ENGINEERING / Reference Reliability (Engineering) Risk assessment / Mathematical models Mathematisches Modell Zuverlässigkeit Technisches System |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118701881 |
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