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Condition Monitoring and Control for Intelligent Manufacturing

  • Lihui Wang
  • Robert X. Gao

Part of the Springer Series in Advanced Manufacturing book series (SSAM)

Table of contents

  1. Front Matter
    Pages i-xix
  2. A. Galip Ulsoy
    Pages 1-32
  3. D. E. Lee, Inkil Hwang, C. M. O. Valente, J. F. G. Oliveira, David A. Dornfeld
    Pages 33-54
  4. Mo A. Elbestawi, Mihaela Dumitrescu, Eu-Gene Ng
    Pages 55-82
  5. Bernhard Karpuschewski, Ichiro Inasaki
    Pages 83-107
  6. N. Tandon, A. Parey
    Pages 109-136
  7. Thomas R. Kurfess, Scott Billington, Steven Y. Liang
    Pages 137-165
  8. Robert X. Gao, Ruqiang Yan, Shuangwen Sheng, Li Zhang
    Pages 167-191
  9. Lihui Wang, Weiming Shen, Peter Orban, Sherman Lang
    Pages 289-313
  10. Fernando Figueroa, John Schmalzel
    Pages 373-391
  11. Back Matter
    Pages 393-399

About this book

Introduction

Manufacturing systems and processes are becoming increasingly complex, making more rational decision-making in process control a necessity. Better information gathering and analysis techniques are needed and condition monitoring is gaining attention from researchers worldwide as a framework that will enable these improvements.

Condition Monitoring and Control for Intelligent Manufacturing brings together the world’s authorities on condition monitoring to provide a broad treatment of the subject accessible to researchers and practitioners in manufacturing industry.

The book presents a wide and comprehensive review of the key areas of research in machine condition monitoring and control, before focusing on an in-depth treatment of each important technique, from multi-domain signal processing for defect diagnosis to web-based information delivery for real-time control.

Condition Monitoring and Control for Intelligent Manufacturing is a valuable resource for researchers in manufacturing and control engineering, as well as practising engineers in industries from automotive to packaging manufacturing.

 

The Springer Series in Advanced Manufacturing publishes the best teaching and reference material to support students, educators and practitioners in manufacturing technology and management. This international series includes advanced textbooks, research monographs, edited works and conference proceedings covering all subjects in advanced manufacturing. The series focuses on new topics of interest, new treatments of more traditional areas and coverage of the applications of information and communication technology (ICT) in manufacturing.

Keywords

Adaptive control Automotive Engineering Intelligent manufacturing Monitoring Real-time system grinding grinding process manufacturing engineering modeling packaging

Editors and affiliations

  • Lihui Wang
    • 1
  • Robert X. Gao
    • 2
  1. 1.Integrated Manufacturing Technologies InstituteNational Research Council of CanadaLondonCanada
  2. 2.Department of Mechanical and Industrial EngineeringUniversity of MassachusettsAmherstUSA

Bibliographic information

  • DOI https://doi.org/10.1007/1-84628-269-1
  • Copyright Information Springer-Verlag London Limited 2006
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84628-268-3
  • Online ISBN 978-1-84628-269-0
  • Series Print ISSN 1860-5168
  • Buy this book on publisher's site