Probabilistic Prognostics and Health Management of Energy Systems
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 source
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abilistic Prognostics and Health Management of Energy Systems
Probabilistic Prognostics and Health Management of Energy Systems
Stephen Ekwaro-Osire Aparecido Carlos Gonçalves Fisseha M. Alemayehu Editors
Probabilistic Prognostics and Health Management of Energy Systems
123
Editors Stephen Ekwaro-Osire Department of Mechanical Engineering Texas Tech University Lubbock, TX USA
Fisseha M. Alemayehu School of Engineering, Computer Science and Mathematics West Texas A&M University Canyon, TX USA
Aparecido Carlos Gonçalves Faculdade de Engenharia de Ilha Solteira Universidade Estadual Paulista Centro, Ilha Solteira, São Paulo Brazil
ISBN 978-3-319-55851-6 DOI 10.1007/978-3-319-55852-3
ISBN 978-3-319-55852-3
(eBook)
Library of Congress Control Number: 2017934323 © Springer International Publishing AG 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Foreword
All engineering systems—energy systems, transportation systems, micromechanical–electrical–systems, and computer chips, all of which are initially designed for longevity and durability—will, in due course, suffer damage initiation at the smallest level, under repeated hygro-thermal–mechanical–electrical– electromagnetic loadings. The materials used in these diverse engineering systems are both mechanical load-bearing as well as multifunctional. These materials are almost always heterogeneous, with very complex microstructures. The science of damage precursors in such materials, and thus in the engineering systems they are made of, is an emerging discipline. The detection of damage precursors, the measurement of the growth of damage (including cracks), and the prediction of the rema
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