System reliability theory: models, statistical methods, and applications
"Since the publication of the Second Edition of this popular textbook, new standards have changed the focus of reliability engineering, which introduced new concepts and terminology. Consequently, the Third Edition of System Reliability Theory: Models, Statistical Methods, and Applications has...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2021
|
| Ausgabe: | Third edition |
| Schriftenreihe: | Wiley series in probability and statistics
|
| Schlagworte: | |
| Zusammenfassung: | "Since the publication of the Second Edition of this popular textbook, new standards have changed the focus of reliability engineering, which introduced new concepts and terminology. Consequently, the Third Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards. With an updated practical focus, incorporation of industry feedback, and many new examples based on real-world industry problems and data, this book begins with an introduction on reliability engineering and is followed by coverage on failures and failure analysis. The authors address failure models and qualitative system analysis and present new coverage on state space models. In addition, a new chapter on component reliability and availability is followed by a chapter on systems of independent components. Component importance is covered followed by a chapter on dependent failures, which now includes a discussion on causes of common cause failures, explicit versus implicit modeling, and the Beta-factor model. The authors also discuss counting processes and Markov Processes. In addition, the authors provide new sections on: maintenance assessment and optimization; advanced models failure rates; human errors; software bugs; CCFs (ICED + method in IEC 61508); generic failure rate databases; FRACAS data; application-specific data; frequency of dangerous failures (PFH); and reliability prediction. The book is supplemented with a companion website, which contains an Instructor Solutions Manual, lecture slides, reliability data sources, sample exam questions, and a terminology review"-- |
| Beschreibung: | xxx, 813 Seiten |
| ISBN: | 9781119373520 |
Internformat
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| 520 | 3 | |a "Since the publication of the Second Edition of this popular textbook, new standards have changed the focus of reliability engineering, which introduced new concepts and terminology. Consequently, the Third Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards. With an updated practical focus, incorporation of industry feedback, and many new examples based on real-world industry problems and data, this book begins with an introduction on reliability engineering and is followed by coverage on failures and failure analysis. The authors address failure models and qualitative system analysis and present new coverage on state space models. In addition, a new chapter on component reliability and availability is followed by a chapter on systems of independent components. Component importance is covered followed by a chapter on dependent failures, which now includes a discussion on causes of common cause failures, explicit versus implicit modeling, and the Beta-factor model. The authors also discuss counting processes and Markov Processes. In addition, the authors provide new sections on: maintenance assessment and optimization; advanced models failure rates; human errors; software bugs; CCFs (ICED + method in IEC 61508); generic failure rate databases; FRACAS data; application-specific data; frequency of dangerous failures (PFH); and reliability prediction. The book is supplemented with a companion website, which contains an Instructor Solutions Manual, lecture slides, reliability data sources, sample exam questions, and a terminology review"-- | |
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Datensatz im Suchindex
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| author | Rausand, Marvin 1949- Barros, Anne Høyland, Arnljot 1924-2002 |
| author_GND | (DE-588)1058416278 (DE-588)1077383428 (DE-588)170667359 |
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| ctrlnum | (OCoLC)1196291748 (DE-599)KXP1695581938 |
| edition | Third edition |
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| id | DE-604.BV047904433 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:29:36Z |
| indexdate | 2024-07-10T09:24:43Z |
| institution | BVB |
| isbn | 9781119373520 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033286311 |
| oclc_num | 1196291748 |
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| owner_facet | DE-83 |
| physical | xxx, 813 Seiten |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Wiley |
| record_format | marc |
| series2 | Wiley series in probability and statistics |
| spelling | Rausand, Marvin 1949- (DE-588)1058416278 aut System reliability theory models, statistical methods, and applications Marvin Rausand, Norwegian University of Science & Technology, Trondheim, Norway ; Anne Barros, CentraleSupelec, Paris-Saclay University Paris, France ; Arnljot Høyland, Norwegian University of Science & Technology, Trondheim, Norway Third edition Hoboken, NJ Wiley 2021 xxx, 813 Seiten txt rdacontent n rdamedia nc rdacarrier Wiley series in probability and statistics "Since the publication of the Second Edition of this popular textbook, new standards have changed the focus of reliability engineering, which introduced new concepts and terminology. Consequently, the Third Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards. With an updated practical focus, incorporation of industry feedback, and many new examples based on real-world industry problems and data, this book begins with an introduction on reliability engineering and is followed by coverage on failures and failure analysis. The authors address failure models and qualitative system analysis and present new coverage on state space models. In addition, a new chapter on component reliability and availability is followed by a chapter on systems of independent components. Component importance is covered followed by a chapter on dependent failures, which now includes a discussion on causes of common cause failures, explicit versus implicit modeling, and the Beta-factor model. The authors also discuss counting processes and Markov Processes. In addition, the authors provide new sections on: maintenance assessment and optimization; advanced models failure rates; human errors; software bugs; CCFs (ICED + method in IEC 61508); generic failure rate databases; FRACAS data; application-specific data; frequency of dangerous failures (PFH); and reliability prediction. The book is supplemented with a companion website, which contains an Instructor Solutions Manual, lecture slides, reliability data sources, sample exam questions, and a terminology review"-- Reliability (Engineering) / Statistical methods Barros, Anne (DE-588)1077383428 aut Høyland, Arnljot 1924-2002 (DE-588)170667359 aut Erscheint auch als Online-Ausgabe, PDF 9781119374015 Erscheint auch als Online-Ausgabe, epub 9781119373957 |
| spellingShingle | Rausand, Marvin 1949- Barros, Anne Høyland, Arnljot 1924-2002 System reliability theory models, statistical methods, and applications |
| title | System reliability theory models, statistical methods, and applications |
| title_auth | System reliability theory models, statistical methods, and applications |
| title_exact_search | System reliability theory models, statistical methods, and applications |
| title_exact_search_txtP | System reliability theory models, statistical methods, and applications |
| title_full | System reliability theory models, statistical methods, and applications Marvin Rausand, Norwegian University of Science & Technology, Trondheim, Norway ; Anne Barros, CentraleSupelec, Paris-Saclay University Paris, France ; Arnljot Høyland, Norwegian University of Science & Technology, Trondheim, Norway |
| title_fullStr | System reliability theory models, statistical methods, and applications Marvin Rausand, Norwegian University of Science & Technology, Trondheim, Norway ; Anne Barros, CentraleSupelec, Paris-Saclay University Paris, France ; Arnljot Høyland, Norwegian University of Science & Technology, Trondheim, Norway |
| title_full_unstemmed | System reliability theory models, statistical methods, and applications Marvin Rausand, Norwegian University of Science & Technology, Trondheim, Norway ; Anne Barros, CentraleSupelec, Paris-Saclay University Paris, France ; Arnljot Høyland, Norwegian University of Science & Technology, Trondheim, Norway |
| title_short | System reliability theory |
| title_sort | system reliability theory models statistical methods and applications |
| title_sub | models, statistical methods, and applications |
| work_keys_str_mv | AT rausandmarvin systemreliabilitytheorymodelsstatisticalmethodsandapplications AT barrosanne systemreliabilitytheorymodelsstatisticalmethodsandapplications AT høylandarnljot systemreliabilitytheorymodelsstatisticalmethodsandapplications |