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Computer-aided Maintenance

Methodologies and Practices

  • Book
  • © 1999

Overview

Editors:
  1. Jay Lee

    1. National Science Foundation, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Ben Wang

    1. FAMU-FSU College of Engineering, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Manufacturing Systems Engineering Series (MSES, volume 5)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Methodologies

    1. Front Matter

      Pages 1-1
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    2. Fundamentals of maintenance

      • Gerald M. Knapp, Ben Wang
      Pages 3-18

    3. Fundamentals of sensory systems for maintenance engineering

      • Jay Lee, John Tsai, John Fildes
      Pages 19-40

    4. Related work on machine monitoring and diagnostics

      • Hsin Hao Huang, Ben Wang
      Pages 41-58

    5. Parametric modeling methods: theory and a case study

      • Julie Spoerre, Ben Wang
      Pages 59-85

    6. Machine performance estimation and reliability modeling

      • Chang-Ching Lin, Ben Wang
      Pages 86-116

    7. Design methodology for self-maintenance machines

      • Yasushi Umeda, Tetsuo Tomiyama, Tomohiko Sakao, Yoshiki Shimomura
      Pages 117-135

    8. Integrated prognostics, maintenance and life-extending control of continuous-time production processes

      • Asok Ray, Shashi Phoha
      Pages 136-169

    9. An integrated automated root cause identification fuzzy neural network reasoning for quality control

      • Farhad Tadayon, Jay Lee
      Pages 170-180

    10. Maintenance using activity-based costing (ABC)

      • Alice S. Tsai
      Pages 181-208

    11. Life cycle maintenance management

      • Shozo Takata
      Pages 209-230

    12. Life extension of operating machinery using the National Information Infrastructure (NII)

      • Shashi Phoha, Asok Ray
      Pages 231-260

  3. Case Examples

    1. Front Matter

      Pages 261-261
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    2. Case Example 1: Motor incipient fault detection using artificial neural network and fuzzy logic technologies

      • Mo-yuen Chow, Yuan-Shin Lee, H. Joel Trussell
      Pages 263-280

    3. Case Example 2: Data analysis for diagnostics and process monitoring of automotive engines

      • Bruce D. Bryant, Kenneth A. Marko
      Pages 281-301

    4. Case Example 3: Measurement of machine performance degradation using a neural network model

      • Jay Lee
      Pages 302-317

    5. Case Example 4: Detection and isolation of faults in the stamping process using the Haar transform

      • Christopher K. H. Koh, William J. Williams
      Pages 318-338

    6. Case Example 5: Fault monitoring in manufacturing systems using template models

      • Lawrence E. Holloway
      Pages 339-355

    7. Case Example 6: In-process diagnosis of tool failures in milling

      • Kazuo Mori
      Pages 356-378
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Keywords

About this book

In today's business environment, reliability and maintenance drastically affect the three key elements of competitiveness - quality, cost, and product lead time. Well-maintained machines hold tolerances better, help reduce scrap and rework, and raise consistency and quality of the part in addition to cutting total production costs. Today, many factories are still performing maintenance on equipment in a reactive manner due to a lack of understanding about machine performance behaviour. To improve production efficiency, computer-aided maintenance and diagnostic methodology must be applied effectively in manufacturing. This book focuses on the fundamental principles of predictive maintenance and diagnostic engineering. In addition to covering the relevant theory, techniques and methodologies in maintenance engineering, the book also provides numerous case studies and examples illustrating the successful application of the principles and techniques outlined.

Editors and Affiliations

  • National Science Foundation, USA

    Jay Lee

  • FAMU-FSU College of Engineering, USA

    Ben Wang

Bibliographic Information

  • Book Title: Computer-aided Maintenance

  • Book Subtitle: Methodologies and Practices

  • Editors: Jay Lee, Ben Wang

  • Series Title: Manufacturing Systems Engineering Series

  • DOI: https://doi.org/10.1007/978-1-4615-5305-2

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 1999

  • Hardcover ISBN: 978-0-412-62970-9Published: 31 January 1999

  • Softcover ISBN: 978-1-4613-7421-3Published: 06 October 2012

  • eBook ISBN: 978-1-4615-5305-2Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XIII, 409

  • Topics: Mechanical Engineering, Operations Management

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