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Data-Driven Remaining Useful Life Prognosis Techniques

Stochastic Models, Methods and Applications

  • Xiao-Sheng Si
  • Zheng-Xin Zhang
  • Chang-Hua Hu

Part of the Springer Series in Reliability Engineering book series (RELIABILITY)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Introduction, Degradation Data Acquisition and Evaluation

    1. Front Matter
      Pages 1-1
    2. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 3-21
    3. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 23-37
    4. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 39-69
  3. Prognostic Techniques for Linear Degrading Systems

    1. Front Matter
      Pages 71-71
    2. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 73-102
    3. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 103-142
    4. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 143-180
  4. Prognostic Techniques for Nonlinear Degrading Systems

    1. Front Matter
      Pages 181-181
    2. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 183-215
    3. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 217-246
    4. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 247-271
    5. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 273-311
    6. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 313-336
    7. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 337-360
  5. Applications of Prognostic Information

    1. Front Matter
      Pages 361-361
    2. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 363-392
    3. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 393-404
    4. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 405-417
    5. Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
      Pages 419-430

About this book

Introduction

This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail.

The emphasis of the book is on the stochastic models, methods and applications employed in remaining useful life prognosis. It includes a wealth of degradation monitoring experiment data, practical prognosis methods for remaining useful life in various cases, and a series of applications incorporated into prognostic information in decision-making, such as maintenance-related decisions and ordering spare parts. It also highlights the latest advances in data-driven remaining useful life prognosis techniques, especially in the contexts of adaptive prognosis for linear stochastic degrading systems, nonlinear degradation modeling based prognosis, residual storage life prognosis, and prognostic information-based decision-making.

Keywords

Brownian motion Degradation process Expectation maximization Linear stochastic degrading systems Markov process Nonlinear stochastic degrading systems Prognostics and health management Remaining useful life prognosis Wiener process

Authors and affiliations

  • Xiao-Sheng Si
    • 1
  • Zheng-Xin Zhang
    • 2
  • Chang-Hua Hu
    • 3
  1. 1.Department of AutomationXi’an Institute of High-TechnologyXi’anChina
  2. 2.Department of AutomationXi’an Institute of High-Technology Department of AutomationXi’anChina
  3. 3.Department of AutomationXi’an Institute of High-TechnologyXi’anChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-54030-5
  • Copyright Information National Defense Industry Press and Springer-Verlag GmbH Germany 2017
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-54028-2
  • Online ISBN 978-3-662-54030-5
  • Series Print ISSN 1614-7839
  • Series Online ISSN 2196-999X
  • Buy this book on publisher's site