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Reactor Emergency Action Level Monitor: Knowledge Acquisition Experiences

Touchton, Robert A.

Abstract This paper presents the Knowledge Acquisition experiences in developing the Reactor Emergency Action Level Monitor (REALM) Expert System Prototype. REALM is an expert system which interprets plant sensor data and provides advice on the proper emergency classification. The REALM project is being funded by the Electric Power Research Institute, Consolidated Edison is serving as the host utility, and the effort is being conducted by Technology Applications, Inc.

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Reactor Emergency Action Level Monitor: Knowledge Acquisition Experiences

Touchton, Robert A.

Abstract This paper presents the Knowledge Acquisition experiences in developing the Reactor Emergency Action Level Monitor (REALM) Expert System Prototype. REALM is an expert system which interprets plant sensor data and provides advice on the proper emergency classification. The REALM project is being funded by the Electric Power Research Institute, Consolidated Edison is serving as the host utility, and the effort is being conducted by Technology Applications, Inc.

Reactor Emergency Action Level Monitor: Knowledge Acquisition Experiences

Touchton, Robert A.

Abstract This paper presents the Knowledge Acquisition experiences in developing the Reactor Emergency Action Level Monitor (REALM) Expert System Prototype. REALM is an expert system which interprets plant sensor data and provides advice on the proper emergency classification. The REALM project is being funded by the Electric Power Research Institute, Consolidated Edison is serving as the host utility, and the effort is being conducted by Technology Applications, Inc.

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Title:

Reactor Emergency Action Level Monitor: Knowledge Acquisition Experiences

Contributors:

Touchton, Robert A. (author)

Published in:

Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry ; 363-368

Publication date:

1988-01-01

Size:

6 pages

ISBN:

978-1-4612-8290-7 , 978-1-4613-1009-9

DOI:

https://doi.org/10.1007/978-1-4613-1009-9_45

Type of media:

Article/Chapter (Book)

Type of material:

Electronic Resource

Language:

English

Keywords:

Knowledge Engineering , Knowledge Source , Knowledge Engineer , Electric Power Research Institute , Severe Accident Computer Science , Artificial Intelligence (incl. Robotics) , Characterization and Evaluation of Materials

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