Applied reliability engineering and risk analysis: probabilistic models and statistical inference
Saved in:
| Format: | Electronic eBook |
|---|---|
| Language: | English |
| Published: |
Chichester, West Sussex
John Wiley & Sons Inc.
2014
|
| Edition: | 1st ed |
| Series: | Wiley series in quality and reliability engineering
|
| Subjects: | |
| Physical Description: | xxxiii, 413 p. |
| ISBN: | 9781118701942 |
Staff View
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| 245 | 1 | 0 | |a Applied reliability engineering and risk analysis |b probabilistic models and statistical inference |c editors, Ilia B. Frenkel ... [et al.] |
| 250 | |a 1st ed | ||
| 264 | 1 | |a Chichester, West Sussex |b John Wiley & Sons Inc. |c 2014 | |
| 300 | |a xxxiii, 413 p. | ||
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| 490 | 0 | |a Wiley series in quality and reliability engineering | |
| 505 | 8 | |a Includes bibliographical references and index | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a "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"-- | |
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Record in the Search Index
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| contents | Includes bibliographical references and index 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 "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"-- |
| ctrlnum | (ZDB-38-ESG)ebr10753410 (OCoLC)849801368 (DE-599)BVBBV044852485 |
| dewey-full | 620/.00452 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620/.00452 |
| dewey-search | 620/.00452 |
| dewey-sort | 3620 3452 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Technik |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV044852485 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:02:53Z |
| institution | BVB |
| isbn | 9781118701942 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030247345 |
| oclc_num | 849801368 |
| open_access_boolean | |
| physical | xxxiii, 413 p. |
| psigel | ZDB-38-ESG |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | John Wiley & Sons Inc. |
| 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 ... [et al.] 1st ed Chichester, West Sussex John Wiley & Sons Inc. 2014 xxxiii, 413 p. txt rdacontent c rdamedia cr rdacarrier Wiley series in quality and reliability engineering Includes bibliographical references and index 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 "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"-- 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 1\p DE-604 Frenkel, Ilia Sonstige oth Erscheint auch als Druck-Ausgabe, Hardcover 978-1-118-53942-2 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Applied reliability engineering and risk analysis probabilistic models and statistical inference Includes bibliographical references and index 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 "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"-- 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 ... [et al.] |
| title_fullStr | Applied reliability engineering and risk analysis probabilistic models and statistical inference editors, Ilia B. Frenkel ... [et al.] |
| title_full_unstemmed | Applied reliability engineering and risk analysis probabilistic models and statistical inference editors, Ilia B. Frenkel ... [et al.] |
| 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 | Reliability (Engineering) Risk assessment Mathematical models Zuverlässigkeit (DE-588)4059245-5 gnd Technisches System (DE-588)4126276-1 gnd |
| topic_facet | Reliability (Engineering) Risk assessment Mathematical models Zuverlässigkeit Technisches System |
| work_keys_str_mv | AT frenkelilia appliedreliabilityengineeringandriskanalysisprobabilisticmodelsandstatisticalinference |