Probabilistic Prognostics and Health Management of Energy Systems (Paperback, Softcover reprint of the original 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	July 2018
First published:	2017
Editors:	Stephen Ekwaro-Osire • Aparecido Carlos Goncalves • Fisseha M. Alemayehu
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	277
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-85764-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Energy technology & engineering > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > Engineering thermodynamics Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-85764-9
Barcode:	9783319857640

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