Prognostics and Health Management of Engineering Systems (Record no. 80741)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04458nam a22006015i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-44742-1 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801222419.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 161024s2017 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319447421 |
| -- | 978-3-319-44742-1 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 621.042 |
| 100 1# - AUTHOR NAME | |
| Author | Kim, Nam-Ho. |
| 245 10 - TITLE STATEMENT | |
| Title | Prognostics and Health Management of Engineering Systems |
| Sub Title | An Introduction / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XIV, 347 p. 166 illus., 155 illus. in color. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Introduction -- Tutorials for Prognostics -- Bayesian Statistics for Prognostics -- Physics-Based Prognostics -- Data-Driven Prognostics -- Study on Attributes of Prognostic Methods -- Applications of Prognostics. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book introduces the methods for predicting the future behavior of a system’s health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application. 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | An, Dawn. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Choi, Joo-Ho. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-44742-1 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2017. |
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| -- | text |
| -- | txt |
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| 337 ## - | |
| -- | computer |
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| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Renewable energy sources. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Aerospace engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Astronautics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal processing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Building materials. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Civil engineering. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Renewable Energy. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Aerospace Technology and Astronautics. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal, Speech and Image Processing . |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Structural Materials. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Civil Engineering. |
| 912 ## - | |
| -- | ZDB-2-ENG |
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| -- | ZDB-2-SXE |
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