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Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry

  • Book
  • © 1988

Overview

Editors:
  1. M. Catherine Majumdar

    1. Westinghouse Idaho Nuclear Corporation, Idaho Falls, USA

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  2. Debu Majumdar

    1. U.S. Department of Energy, Idaho Operations Office, Idaho Falls, USA

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  3. John I. Sackett

    1. Argonne National Laboratory West, Idaho Falls, USA

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Table of contents (109 chapters)

  1. Front Matter

    Pages i-xvii
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  2. International Overview

    1. Front Matter

      Pages 1-1
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    2. Knowledge Based Systems for Nuclear Applications in Germany

      • F. Schmidt
      Pages 3-10

    3. Applications of Artificial Intelligence in the U. S. Nuclear Industry

      • Robert E. Uhrig
      Pages 11-19

    4. NKA/INF - Advanced Information Technology: Information Technology for Accident and Emergency Management

      • V. Andersen, K. Møllenbach, R. Heinonen, S. Jakobsson, T. Kukko, Ø. Berg et al.
      Pages 21-27

    5. A Survey of Framatome’s Expert Systems Activity

      • Didier Delaigue, Michel Grundstein
      Pages 29-35

    6. Artificial Intelligence Applications for Operation and Maintenance: Japanese Industry Cases

      • Mutsumi Itoh, Ichiro Tai, Kazuo Monta, Koichi Sekimizu
      Pages 37-44

    7. Development in the Application of Knowledge Base Systems in the Canadian Nuclear Industry

      • J. W. D. Anderson, A. Natalizio, J. E. S. Stevens
      Pages 45-50

  3. Robotics and Maintenance

    1. Front Matter

      Pages 51-51
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    2. Beyond Human Performance

      • Floyd E. Gelhaus
      Pages 53-57

    3. Expert Robots in Nuclear Plants

      • J. S. Byrd, J. J. Fisher, K. R. DeVries, T. P. Martin
      Pages 59-68

    4. Reliability Analysis of the Inspection by a Man and a Robot for the Maintenence of a Nuclear Power Plant

      • Yoshiaki Oka, Hideki Araki, Yasumasa Togo
      Pages 69-76

    5. Automatic Scheduling of Maintenance Work in Nuclear Power Plants

      • Takayasu Kasahara, Yasuo Nishizawa, Kanji Kato, Takasi Kiguchi
      Pages 77-84

    6. The Instrumentation Calibration Reduction Program (ICRP) at Northeast Utilities

      • Richard Wyckoff, Paul Blanch
      Pages 85-93

    7. A Knowledge-Based Assistant for Valve Maintenance Planning

      • Michael J. Winter, R. A. Danofsky, B. I. Spinrad, Kenneth Howard
      Pages 95-101

    8. Steam Generator Inspection Planning Expert System

      • Peter Rzasa
      Pages 103-110

  4. Alarm and Signal Validation

    1. Front Matter

      Pages 111-111
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    2. A Real Time Knowledge-Based Alarm System Extra

      • J. Ancelin, J. P. Gaussot, P. Legaud
      Pages 113-117

    3. A Nuclear Reactor Alarm Display System Utilizing AI Techniques for Alarm Filtering

      • Dan Corsberg, Larry Johnson
      Pages 119-125

    4. An Expert System for Alarm Diagnosis and Filtering

      • J. T. Robinson, P. J. Otaduy
      Pages 127-134
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Keywords

About this book

This conference brought together experts from 15 countries to discuss application of Artificial Intelligence (AI) techniques to the nuclear industry. It was apparent from the meeting that even those active in the field were surprised at the extent of work and the progress made. There was a strong impression that application of this technology to nuclear power plants is inevitable. The benefits to improved operation, design, and safety are simply too significant to be ignored. This is a much different conclusion than might have been reached a few years ago when the technology was new and people were struggling to understand its significance. We believe that this meeting reflects a major turning point for the technology. It has moved from being a topic understood only by specialists to a situation where users are the most active people in the field. A broad array of innovative work is described from all of the participating countries. The activity in the u.s. is large and diverse. Although there is no nationally focussed policy for AI research in the U.S., many of these activities are reported here. Japan and France have a strong drive to integrate AI technology into their nuclear plants, and this is reflecteq in these proceedings.

Editors and Affiliations

  • Westinghouse Idaho Nuclear Corporation, Idaho Falls, USA

    M. Catherine Majumdar

  • U.S. Department of Energy, Idaho Operations Office, Idaho Falls, USA

    Debu Majumdar

  • Argonne National Laboratory West, Idaho Falls, USA

    John I. Sackett

Bibliographic Information

  • Book Title: Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry

  • Editors: M. Catherine Majumdar, Debu Majumdar, John I. Sackett

  • DOI: https://doi.org/10.1007/978-1-4613-1009-9

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1988

  • Hardcover ISBN: 978-0-306-42902-6Due: 01 October 1988

  • Softcover ISBN: 978-1-4612-8290-7Published: 24 July 2013

  • eBook ISBN: 978-1-4613-1009-9Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XVII, 910

  • Topics: Artificial Intelligence, Characterization and Evaluation of Materials

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