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Titlebook: Engineering Design under Uncertainty and Health Prognostics; Chao Hu,Byeng D. Youn,Pingfeng Wang Book 2019 Springer International Publishi

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发表于 2025-3-21 16:46:47 | 显示全部楼层 |阅读模式
书目名称Engineering Design under Uncertainty and Health Prognostics
编辑Chao Hu,Byeng D. Youn,Pingfeng Wang
视频video
概述Presents a comprehensive, up-to-date description of probabilistic analysis and design methods.Conveys a practical understanding of how uncertainties in system inputs can be efficiently and accurately
丛书名称Springer Series in Reliability Engineering
图书封面Titlebook: Engineering Design under Uncertainty and Health Prognostics;  Chao Hu,Byeng D. Youn,Pingfeng Wang Book 2019 Springer International Publishi
描述This book presents state-of-the-art probabilistic methods for the reliability analysis and design of engineering products and processes. It seeks to facilitate practical application of probabilistic analysis and design by providing an authoritative, in-depth, and practical description of what probabilistic analysis and design is and how it can be implemented. The text is packed with many practical engineering examples (e.g., electric power transmission systems, aircraft power generating systems, and mechanical transmission systems) and exercise problems. It is an up-to-date, fully illustrated reference suitable for both undergraduate and graduate engineering students, researchers, and professional engineers who are interested in exploring the fundamentals, implementation, and applications of probabilistic analysis and design methods..
出版日期Book 2019
关键词Health Prognostics; Probabilistic Analysis; Reliability Analysis; Reliability-Based Design; Uncertainty
版次1
doihttps://doi.org/10.1007/978-3-319-92574-5
isbn_softcover978-3-030-06464-8
isbn_ebook978-3-319-92574-5Series ISSN 1614-7839 Series E-ISSN 2196-999X
issn_series 1614-7839
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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Springer Series in Reliability Engineeringhttp://image.papertrans.cn/e/image/310762.jpg
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Lior Naamati-Schneider,Dorit Altble advances have been made in the field of .-. (.), resulting in new techniques for analyzing and improving the reliability of an engineered system, while taking into account various sources of uncertainty (e.g., material properties, loads, and geometric tolerances). Additionally, advanced . strate
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Honor Thy Father(s) and Thy Mother(s),conditional probability, and independence. A reasonably complete and self-sustained treatment has been given to these topics, which form a theoretical basis for practical statistical data analysis. This chapter discusses statistical analysis based on available sample data. Specifically, it introduce
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Technologically ‘Competent’ Firmsf uncertainty associated with these systems. Because one of the primary concerns in product design is ensuring a high level of system reliability throughout the product lifecycle, the ability to deal with the time-dependent probabilistic constraints necessary to carry out time-dependent reliability
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