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Probabilistic Prognostics and Health Management of Energy Systems (Paperback, Softcover reprint of the original 1st ed. 2017):... Probabilistic Prognostics and Health Management of Energy Systems (Paperback, Softcover reprint of the original 1st ed. 2017)
Stephen Ekwaro-Osire, Aparecido Carlos Goncalves, Fisseha M. Alemayehu
R3,793 Discovery Miles 37 930 Ships in 10 - 15 working days

This book proposes the formulation of an efficient methodology that estimates energy system uncertainty and predicts Remaining Useful Life (RUL) accurately with significantly reduced RUL prediction uncertainty. Renewable and non-renewable sources of energy are being used to supply the demands of societies worldwide. These sources are mainly thermo-chemo-electro-mechanical systems that are subject to uncertainty in future loading conditions, material properties, process noise, and other design parameters.It book informs the reader of existing and new ideas that will be implemented in RUL prediction of energy systems in the future. The book provides case studies, illustrations, graphs, and charts. Its chapters consider engineering, reliability, prognostics and health management, probabilistic multibody dynamical analysis, peridynamic and finite-element modelling, computer science, and mathematics.

Probabilistic Prognostics and Health Management of Energy Systems (Hardcover, 1st ed. 2017): Stephen Ekwaro-Osire, Aparecido... Probabilistic Prognostics and Health Management of Energy Systems (Hardcover, 1st ed. 2017)
Stephen Ekwaro-Osire, Aparecido Carlos Goncalves, Fisseha M. Alemayehu
R4,041 Discovery Miles 40 410 Ships in 10 - 15 working days

This book proposes the formulation of an efficient methodology that estimates energy system uncertainty and predicts Remaining Useful Life (RUL) accurately with significantly reduced RUL prediction uncertainty. Renewable and non-renewable sources of energy are being used to supply the demands of societies worldwide. These sources are mainly thermo-chemo-electro-mechanical systems that are subject to uncertainty in future loading conditions, material properties, process noise, and other design parameters.It book informs the reader of existing and new ideas that will be implemented in RUL prediction of energy systems in the future. The book provides case studies, illustrations, graphs, and charts. Its chapters consider engineering, reliability, prognostics and health management, probabilistic multibody dynamical analysis, peridynamic and finite-element modelling, computer science, and mathematics.

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