Reliability Theory: With Applications to Preventive Maintenance
The material in this book was first presented as a one-semester course in Relia bility Theory and Preventive Maintenance for M.Sc. students of the Industrial Engineering Department of Ben Gurion University in the 1997/98 and 1998/99 academic years. Engineering students are mainly interested in the...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2000
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Schlagworte: | |
Online-Zugang: | FHI01 BTU01 Volltext |
Zusammenfassung: | The material in this book was first presented as a one-semester course in Relia bility Theory and Preventive Maintenance for M.Sc. students of the Industrial Engineering Department of Ben Gurion University in the 1997/98 and 1998/99 academic years. Engineering students are mainly interested in the applied part of this theory. The value of preventive maintenance theory lies in the possibility of its imple mentation, which crucially depends on how we handle statistical reliability data. The very nature of the object of reliability theory - system lifetime - makes it extremely difficult to collect large amounts of data. The data available are usu ally incomplete, e.g. heavily censored. Thus, the desire to make the course material more applicable led me to include in the course topics such as mod eling system lifetime distributions (Chaps. 1,2) and the maximum likelihood techniques for lifetime data processing (Chap. 3). A course in the theory of statistics is aprerequisite for these lectures. Stan dard courses usually pay very little attention to the techniques needed for our purpose. A short summary of them is given in Chap. 3, including widely used probability plotting. Chapter 4 describes the most useful and popular models of preventive main tenance and replacement. Some practical aspects of applying these models are addressed, such as treating uncertainty in the data, the role of data contamina tion and the opportunistic scheduling of maintenance activities |
Beschreibung: | 1 Online-Ressource (XII, 219 p) |
ISBN: | 9783662042366 |
DOI: | 10.1007/978-3-662-04236-6 |
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520 | |a The material in this book was first presented as a one-semester course in Relia bility Theory and Preventive Maintenance for M.Sc. students of the Industrial Engineering Department of Ben Gurion University in the 1997/98 and 1998/99 academic years. Engineering students are mainly interested in the applied part of this theory. The value of preventive maintenance theory lies in the possibility of its imple mentation, which crucially depends on how we handle statistical reliability data. The very nature of the object of reliability theory - system lifetime - makes it extremely difficult to collect large amounts of data. The data available are usu ally incomplete, e.g. heavily censored. Thus, the desire to make the course material more applicable led me to include in the course topics such as mod eling system lifetime distributions (Chaps. 1,2) and the maximum likelihood techniques for lifetime data processing (Chap. 3). A course in the theory of statistics is aprerequisite for these lectures. Stan dard courses usually pay very little attention to the techniques needed for our purpose. A short summary of them is given in Chap. 3, including widely used probability plotting. Chapter 4 describes the most useful and popular models of preventive main tenance and replacement. Some practical aspects of applying these models are addressed, such as treating uncertainty in the data, the role of data contamina tion and the opportunistic scheduling of maintenance activities | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Gertsbakh, Ilya |
author_facet | Gertsbakh, Ilya |
author_role | aut |
author_sort | Gertsbakh, Ilya |
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dewey-full | 658.56 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.56 |
dewey-search | 658.56 |
dewey-sort | 3658.56 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
doi_str_mv | 10.1007/978-3-662-04236-6 |
format | Electronic eBook |
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isbn | 9783662042366 |
language | English |
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spelling | Gertsbakh, Ilya Verfasser aut Reliability Theory With Applications to Preventive Maintenance by Ilya Gertsbakh Berlin, Heidelberg Springer Berlin Heidelberg 2000 1 Online-Ressource (XII, 219 p) txt rdacontent c rdamedia cr rdacarrier The material in this book was first presented as a one-semester course in Relia bility Theory and Preventive Maintenance for M.Sc. students of the Industrial Engineering Department of Ben Gurion University in the 1997/98 and 1998/99 academic years. Engineering students are mainly interested in the applied part of this theory. The value of preventive maintenance theory lies in the possibility of its imple mentation, which crucially depends on how we handle statistical reliability data. The very nature of the object of reliability theory - system lifetime - makes it extremely difficult to collect large amounts of data. The data available are usu ally incomplete, e.g. heavily censored. Thus, the desire to make the course material more applicable led me to include in the course topics such as mod eling system lifetime distributions (Chaps. 1,2) and the maximum likelihood techniques for lifetime data processing (Chap. 3). A course in the theory of statistics is aprerequisite for these lectures. Stan dard courses usually pay very little attention to the techniques needed for our purpose. A short summary of them is given in Chap. 3, including widely used probability plotting. Chapter 4 describes the most useful and popular models of preventive main tenance and replacement. Some practical aspects of applying these models are addressed, such as treating uncertainty in the data, the role of data contamina tion and the opportunistic scheduling of maintenance activities Engineering Quality Control, Reliability, Safety and Risk Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Probability Theory and Stochastic Processes Probabilities Statistics Quality control Reliability Industrial safety Zuverlässigkeitstheorie (DE-588)4195525-0 gnd rswk-swf Zuverlässigkeitstheorie (DE-588)4195525-0 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9783642086656 https://doi.org/10.1007/978-3-662-04236-6 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Gertsbakh, Ilya Reliability Theory With Applications to Preventive Maintenance Engineering Quality Control, Reliability, Safety and Risk Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Probability Theory and Stochastic Processes Probabilities Statistics Quality control Reliability Industrial safety Zuverlässigkeitstheorie (DE-588)4195525-0 gnd |
subject_GND | (DE-588)4195525-0 |
title | Reliability Theory With Applications to Preventive Maintenance |
title_auth | Reliability Theory With Applications to Preventive Maintenance |
title_exact_search | Reliability Theory With Applications to Preventive Maintenance |
title_full | Reliability Theory With Applications to Preventive Maintenance by Ilya Gertsbakh |
title_fullStr | Reliability Theory With Applications to Preventive Maintenance by Ilya Gertsbakh |
title_full_unstemmed | Reliability Theory With Applications to Preventive Maintenance by Ilya Gertsbakh |
title_short | Reliability Theory |
title_sort | reliability theory with applications to preventive maintenance |
title_sub | With Applications to Preventive Maintenance |
topic | Engineering Quality Control, Reliability, Safety and Risk Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Probability Theory and Stochastic Processes Probabilities Statistics Quality control Reliability Industrial safety Zuverlässigkeitstheorie (DE-588)4195525-0 gnd |
topic_facet | Engineering Quality Control, Reliability, Safety and Risk Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Probability Theory and Stochastic Processes Probabilities Statistics Quality control Reliability Industrial safety Zuverlässigkeitstheorie |
url | https://doi.org/10.1007/978-3-662-04236-6 |
work_keys_str_mv | AT gertsbakhilya reliabilitytheorywithapplicationstopreventivemaintenance |