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Data-Driven Technology for Engineering Systems Health Management

Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions

  • Book
  • © 2017

Overview

Authors:
  1. Gang Niu

    1. Institute of Rail Transit, Tongji University, Shanghai, China

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  • Covers regular expressions usage in feature-based strategy and methodology for PHM/CBM
  • Offers an in-depth review and explanations of algorithms for data-driven PHM/CBM
  • Includes handy quick-reference tables to help readers with regular expression syntax
  • Includes supplementary material: sn.pub/extras

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Background of Systems Health Management

    • Gang Niu
    Pages 1-14

  3. Design Approach for Systems Health Management

    • Gang Niu
    Pages 15-33

  4. Overview of Data-Driven PHM

    • Gang Niu
    Pages 35-48

  5. Data Acquisition and Preprocessing

    • Gang Niu
    Pages 49-99

  6. Statistic Feature Extraction

    • Gang Niu
    Pages 101-138

  7. Feature Selection Optimization

    • Gang Niu
    Pages 139-171

  8. Intelligent Fault Diagnosis Methodology

    • Gang Niu
    Pages 173-258

  9. Science of Prognostics

    • Gang Niu
    Pages 259-291

  10. Data Fusion Strategy

    • Gang Niu
    Pages 293-341

  11. System Support and Logistics

    • Gang Niu
    Pages 343-354

  12. Back Matter

    Pages 355-357
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Keywords

About this book

This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.

Authors and Affiliations

  • Institute of Rail Transit, Tongji University, Shanghai, China

    Gang Niu

About the author


Bibliographic Information

  • Book Title: Data-Driven Technology for Engineering Systems Health Management

  • Book Subtitle: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions

  • Authors: Gang Niu

  • DOI: https://doi.org/10.1007/978-981-10-2032-2

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Science+Business Media Singapore and Science Press, Beijing, China 2017

  • Hardcover ISBN: 978-981-10-2031-5Published: 08 August 2016

  • Softcover ISBN: 978-981-10-9509-2Published: 07 June 2018

  • eBook ISBN: 978-981-10-2032-2Published: 27 July 2016

  • Edition Number: 1

  • Number of Pages: XIII, 357

  • Number of Illustrations: 204 b/w illustrations

  • Additional Information: Jointly published with Science Press, Beijing, China

  • Topics: Quality Control, Reliability, Safety and Risk, System Performance and Evaluation, Applications of Mathematics, Data Mining and Knowledge Discovery, Pattern Recognition

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