Authors:
Explains how to determine the health status of the system using sensors and to predict the maintenance period
Systematically summarizes the current state-of-the-art in prognostics and health management of engineering systems
Contains a series of MATLAB programs for prognostics so students and researchers can easily apply and practice their theoretical understanding
Includes supplementary material: sn.pub/extras
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Among the many topics discussed in-depth are:
• Prognostics tutorials using least-squares
• Bayesian inference and parameter estimation• Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter
• Data-driven prognostics algorithms including Gaussian process regression and neural network
• Comparison of different prognostics algorithms
The authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well as researchers and maintenance engineers in the above fields.
Authors and Affiliations
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Mechanical and Aerospace Engineering, University of Florida, Gainesville, USA
Nam-Ho Kim
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Daegyeong Division/Aircraft System Technology Group, Korea Institute of Industrial Technology, Yeongcheon-si, Korea (Republic of)
Dawn An
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Aerospace & Mechanical Engineering, Korea Aerospace University, Goyang-City, Korea (Republic of)
Joo-Ho Choi
About the authors
Dr. Dawn An received a Bachelor and Master of mechanical engineering from Korea Aerospace University in 2008 and 2010, respectively. She started a joint Ph.D. at Korea Aerospace University and the University of Florida in 2011, and received her Ph.D. in 2015 as a jointly conferred degree. She is now a postdoctoral associate at the University of Florida. Her current research is focused on enhancing prognostics methods for real damage data having limitation in terms of insufficient number of data and large noise in data without physical model.
Joo Ho Choi is Professor in the School of Aerospace and Mechanical Engineering, Korea Aerospace University.
Bibliographic Information
Book Title: Prognostics and Health Management of Engineering Systems
Book Subtitle: An Introduction
Authors: Nam-Ho Kim, Dawn An, Joo-Ho Choi
DOI: https://doi.org/10.1007/978-3-319-44742-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-44740-7Published: 02 November 2016
Softcover ISBN: 978-3-319-83126-8Published: 23 June 2018
eBook ISBN: 978-3-319-44742-1Published: 24 October 2016
Edition Number: 1
Number of Pages: XIV, 347
Number of Illustrations: 11 b/w illustrations, 155 illustrations in colour
Topics: Renewable and Green Energy, Aerospace Technology and Astronautics, Signal, Image and Speech Processing, Structural Materials, Civil Engineering