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Computer-aided Maintenance

Methodologies and Practices

  • Jay Lee
  • Ben Wang

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

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Methodologies

    1. Front Matter
      Pages 1-1
    2. Gerald M. Knapp, Ben Wang
      Pages 3-18
    3. Jay Lee, John Tsai, John Fildes
      Pages 19-40
    4. Hsin Hao Huang, Ben Wang
      Pages 41-58
    5. Julie Spoerre, Ben Wang
      Pages 59-85
    6. Chang-Ching Lin, Ben Wang
      Pages 86-116
    7. Yasushi Umeda, Tetsuo Tomiyama, Tomohiko Sakao, Yoshiki Shimomura
      Pages 117-135
    8. Shozo Takata
      Pages 209-230
  3. Case Examples

  4. Back Matter
    Pages 407-409

About this book

Introduction

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.

Keywords

Manufacturing Manufacturing System Motor Sensor design environment fuzzy logic management modeling quality

Editors and affiliations

  • Jay Lee
    • 1
  • Ben Wang
    • 2
  1. 1.National Science FoundationUSA
  2. 2.FAMU-FSU College of EngineeringUSA

Bibliographic information