| Reliability Theory: With Applications to Preventive Maintenance 2000 Edition Contributor(s): Gertsbakh, Ilya (Author) |
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ISBN: 3642086659 ISBN-13: 9783642086656 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: December 2010 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Technology & Engineering | Industrial Engineering - Technology & Engineering | Quality Control |
| Dewey: 519.2 |
| Physical Information: 0.49" H x 6.14" W x 9.21" (0.73 lbs) 219 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |
