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Titlebook: Reliability Theory; With Applications to Ilya Gertsbakh Textbook 2000 Springer-Verlag Berlin Heidelberg 2000 Mathematica.Poisson process.Va

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發(fā)表于 2025-3-21 19:30:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Reliability Theory
副標(biāo)題With Applications to
編輯Ilya Gertsbakh
視頻videohttp://file.papertrans.cn/827/826365/826365.mp4
概述Introduction to reliability theory written from a mathematician for industrial engineering students.Special emphasis is laid on preventive maintenance.Includes supplementary material:
圖書(shū)封面Titlebook: Reliability Theory; With Applications to Ilya Gertsbakh Textbook 2000 Springer-Verlag Berlin Heidelberg 2000 Mathematica.Poisson process.Va
描述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
出版日期Textbook 2000
關(guān)鍵詞Mathematica; Poisson process; Variance; maintenance; quality; reliability; statistics; uncertainty; quality
版次1
doihttps://doi.org/10.1007/978-3-662-04236-6
isbn_softcover978-3-642-08665-6
isbn_ebook978-3-662-04236-6
copyrightSpringer-Verlag Berlin Heidelberg 2000
The information of publication is updating

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發(fā)表于 2025-3-21 23:02:23 | 只看該作者
Preventive Maintenance Based on Parameter Control,of a damage accumulation model — recall the model leading to the gamma distribution. Preventive maintenance of a system with many states is an intervention in the damage accumulation process ξ. by “pulling it down” from a dangerous state into the “safe” state, see Fig. 5.1b.
板凳
發(fā)表于 2025-3-22 02:38:04 | 只看該作者
System Reliability as a Function of Component Reliability,ur purpose is to develop a formal instrument to enable us to receive information about a system’s reliability from information about the reliability of its components. The exposition in this section does not involve probabilistic notions.
地板
發(fā)表于 2025-3-22 05:02:17 | 只看該作者
Preventive Maintenance Models Based on the Lifetime Distribution, “best” possible way. To do this, we need to compare the expressions for mean (expected) . or . for various maintenance periods. Our first task is to learn how to write expressions for these costs or rewards. We will need some basics from the renewal theory.
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發(fā)表于 2025-3-22 11:01:28 | 只看該作者
Preventive Maintenance Based on Parameter Control,ponent) was related to its ., i.e. to the transition time from the nonfailure (“good”) state into the failure (“bad”) state. We can picture the state of the system as a binary random process, see Fig. 5.1a. In this chapter we consider several models of preventive maintenance for which we know enough
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發(fā)表于 2025-3-22 14:18:25 | 只看該作者
Best Time Scale for Age Replacement,scales for cars: the calendar time scale and the mileage scale. For aircraft frame, three time scales are popular: the calendar time scale, the number of flight hours (time in the air) and the number of takeoffs/landings. For jet engines, the age is measured in operation hours and in operation cycle
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