Refine your search:     
Report No.
 - 
Search Results: Records 1-14 displayed on this page of 14
  • 1

Presentation/Publication Type

Initialising ...

Refine

Journal/Book Title

Initialising ...

Meeting title

Initialising ...

First Author

Initialising ...

Keyword

Initialising ...

Language

Initialising ...

Publication Year

Initialising ...

Held year of conference

Initialising ...

Save select records

Journal Articles

Visiting Professor's Research Division

Nakajima, Norihiro; Aoki, Keiko*

Tokyo Daigaku Jinkobutsu Kogaku Kenkyu Senta 2017-Nendo Kenkyu Nempo, p.51 - 53, 84, 2018/12

Visiting professors research division in the Research into Artifacts, Center for Engineering (RACE) has been conducting research collaboration in Socio-Artifactology and Human-Artifactology, in order to establish the methodology of the fusion research in sociology and science for artifacts engineering for the third era activity of RACE. The division decided to observe how the methodology works in applications with social experiments and numerical experiments for 2017.

Journal Articles

Data analysis based upon abduction; For better understanding the result discussion in computational science and engineering

Nakajima, Norihiro

Nippon Genshiryoku Gakkai-Shi, 59(8), p.34 - 38, 2017/08

It is necessary the reading comprehension of output data to utilize the simulation in a design process, besides of the input data preparation. The simulation introduces enormous big data for evaluation. This paper describes data analysis technology in the analysis and the evaluation process of the output. The technology applies the artificial intelligence to minimize the unpredictable issues and oversight. It is based on the artifact engineering, which is a multi-sight abduction methodology, which derives a hypothesis.

Journal Articles

Design and implementation of an evolutional data collecting system for the atomic and molecular databases

Sasaki, Akira; Jo, Kazuki*; Kashiwagi, Hiroe*; Watanabe, Chiemi*; Suzuki, Manabu*; Lucas, P.*; Oishi, Masatoshi*; Kato, Daiji*; Kato, Masatoshi*; Kato, Takako*

Journal of Plasma and Fusion Research SERIES, Vol.7, p.348 - 351, 2006/00

no abstracts in English

JAEA Reports

JACOS AI-based simulation system for man-machine system behavior in NPP

Yoshida, Kazuo; Yokobayashi, Masao; Tanabe, Fumiya; Kawase, Katsumi*; Komiya, Akitoshi*

JAERI-Data/Code 2001-023, 118 Pages, 2001/08

JAERI-Data-Code-2001-023.pdf:8.65MB

no abstracts in English

Journal Articles

Artifitial life and cellular automata

Suzudo, Tomoaki

Tokei Suri Kenkyusho Kyodo Kenkyu Ripoto 138, p.19 - 24, 2001/03

no abstracts in English

Journal Articles

Radiation control monitor and data processing on HTTR

Nomura, Toshibumi

Hoken Butsuri, 35(1), p.127 - 135, 2000/03

no abstracts in English

Journal Articles

Review on present state of human model researches in nuclear engineering and the prospect for their industrial applications

Yoshida, Kazuo

Nippon Genshiryoku Gakkai-Shi, 41(1), p.10 - 11, 1999/00

no abstracts in English

JAEA Reports

Devdopment of an intellectual maintenance management system; Development of trouble detection and troubleshooting evaluation system

; ; Yoshikawa, Shinji

PNC-TN9410 98-023, 29 Pages, 1998/03

PNC-TN9410-98-023.pdf:1.33MB

Many research activities are conducted to enhance cost performance and safety of nuclear power plants operation and maintenance. Concept of autonomous operating system to equal the role of operators and of maintenance personnel with artificial intelligence and autonomous robots has been developed. An intellectual maintenance management system has been developed to be equipped with decision making functions of maintenance personnel. The intellectual maintenance management system is in charge of maintenance function of an autonomous plant, which consists of plant-wide monitoring, evaluation of component integrity, and scheduling of maintenance activities. In other words, this system should be equipped with preventive maintenance and corrective maintenance functions those are currently loaded on personnel. In this report, we discussed condition monitoring maintenance in the preventive maintenance. We also reported a sensor validation system development for machinery condition monitoring and diagnosis. We adopted distributed and cooperative system construction technique, which is expected recently in applications to large-scale plants. This system has inter-agent communication function for signal transmission and reception among distributed physics models of machineries. The system has been constructed for water / steam system of the LMFBR power plant. The system has been validated to be capable of cooperative sensor validation by the distributed set of agents, with quantitative indication of sensor deviation based on a newly developed fuzzy algorithm with inter-agent cooperation. The derived reference parameter value from the inter-agent evaluations also stands for the alternative measurment to the malfunctioned sensor.

JAEA Reports

Study on large scale knowledge base with real time operation for autonomous nuclear power plant(1); Basic concept and expecting performanse

; ; Yoshikawa, Shinji; Ozawa, kenji

PNC-TN9410 96-101, 40 Pages, 1996/04

PNC-TN9410-96-101.pdf:1.73MB

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.

JAEA Reports

None

*; Suzuki, Kazuhiko*; *

PNC-TJ1612 96-001, 84 Pages, 1996/03

PNC-TJ1612-96-001.pdf:2.5MB

no abstracts in English

JAEA Reports

Proceedings of the 8th Topical Meeting on Nuclear Code Development; November 11-12,1992,JAERI Tokai,Japan

Research Committee on Reactor Physics;

JAERI-M 93-033, 246 Pages, 1993/03

JAERI-M-93-033.pdf:7.78MB

no abstracts in English

Journal Articles

Artifical intelligence may be growing up in the large complex system of machine

Kikai Sekkei, 33(8), p.117 - 122, 1989/08

no abstracts in English

Journal Articles

A Diagnosis system using knowledge engineering technique

Yokobayashi, Masao; *

Ijo Kenshutsu, Yochi No Tameno Sensa To Shingo Shori Gijutsu; Ijo No Kenshutsu To Yochi, p.226 - 238, 1988/00

no abstracts in English

Journal Articles

Applications of an AI method to optimum reactor control problems

Shinohara, Yoshikuni

Artifical Intelligence and Other Innovative Computer Applications in the Nuclear Industry, 8 Pages, 1987/00

no abstracts in English

14 (Records 1-14 displayed on this page)
  • 1