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; ; Yoshikawa, Shinji; Ozawa, Kenji
PNC TN9410 96-101, 40 Pages, 1996/04
Since it is desired to enhance availability and safety of nuclear power plants operation and maintenance by removing human factor, there are many researches and developments for intelligent operation or diagnosis using artificial intelligennce (AI) technique. We have been developing an autonomous operation and maintenance system for nuclear power plants by substituting AI's and intelligent robots. It is indispensable to use various and large scale knowledge relative to plant design, operation, and maintenance, that is, whole life cycle data of the plant for the autonomous nuclear power plant. These knowledge must be given to AI system or intelligent robots adequately and opportunely. Moreover, it is necessaly to insure real time operation using the large scale knowledge base for plant control and diagnosis performance. We have been studying on the large scale and real time knowledge base system for autonomous plant. In the report, we would like to present the basic concept and expecting performance of the knowledge base for autonomous plant, especialy, autonomous control and diagnosis system.
Yoshikawa, Shinji; Ozawa, Kenji; ; Odo, Toshihiro
PNC TN9410 95-160, 18 Pages, 1995/06
This paper presents a study on knowledge dependency of plant operator behavior. The ultimate purpose of this study is to establish a methodology to support human operators in forming an integral understanding (i.e., mental model) of target plants, and thus to enhance potential performance in unexpected situations and in non routine cognitive tasks. The authors conducted a series of experiments to acquire behavioral data of two plant anomalies not included in the training curriculum. A formulation methodology of operator protocols has been proposed from the observations of the acquired behavioral data. It has been concluded that engaged plant operators have sufficient knowledge about physical phenomena of the major components, and that possible improvements of operators' cognitive performance can be expected mainly by knowledge enhancement about utilization strategy of physical information.
Gonda, Kozo; Nemoto, Takeshi; Yasu, Shozo*;
PNC TN841 79-05, 32 Pages, 1979/02
no abstracts in English
