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Engineering Design under Uncertainty and Health Prognostics (Hardcover, 1st ed. 2019): Chao Hu, Byeng D. Youn, Pingfeng Wang Engineering Design under Uncertainty and Health Prognostics (Hardcover, 1st ed. 2019)
Chao Hu, Byeng D. Youn, Pingfeng Wang
R4,916 Discovery Miles 49 160 Ships in 12 - 17 working days

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.

Engineering Design under Uncertainty and Health Prognostics (Paperback, Softcover reprint of the original 1st ed. 2019): Chao... Engineering Design under Uncertainty and Health Prognostics (Paperback, Softcover reprint of the original 1st ed. 2019)
Chao Hu, Byeng D. Youn, Pingfeng Wang
R4,966 Discovery Miles 49 660 Ships in 10 - 15 working days

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.

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