Engineering design under uncertainty and health prognostics
By: Hu, Chao.
Contributor(s): Youn, Byeng D | Wang, Pingfeng.
Series: Springer series in reliability engineering / edited by Hoang Pham. Publisher: Switerland Springer 2019Description: xi, 342p.ISBN: 9783319925721.Subject(s): Health managementDDC classification: 621.381028 | H86e Summary: 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.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books | PK Kelkar Library, IIT Kanpur | General Stacks | 621.381028 H86e (Browse shelf) | Available | A183987 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
621.381 Ya21q QUANTUM ELECTRONICS | 621.3810151 P284t TOPICS IN ADVANCED MATHEMATICS FOR ELECTRONICS TECHNOLOGY | 621.381028 C334 CERAMIC MATERIALS FOR ELECTRONICS | 621.381028 H86e Engineering design under uncertainty and health prognostics | 621.381028 M299e2 EXPERIMENTS FOR ELECTRONIC PRINCIPLES | 621.381028 P769 POLYMER MATERIALS FOR ELECTRONIC APPLICATIONS | 621.3810285 AT83E2 ELECTRONICS AND CICUIT ANALYSIS USING MATLAB |
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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