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Featured researches published by Yukiharu Ohga.


Nuclear Technology | 1993

Abnormal Event Identification in Nuclear Power Plants Using a Neural Network and Knowledge Processing

Yukiharu Ohga; Hiroshi Seki

The combination of a neural network and knowledge processing have been used to identify abnormal events that cause a reactor to scram in a nuclear power plant. The neural network recognizes the abnormal event from the change pattern of analog data for state variables, and this result is confirmed from digital data using a knowledge base of plant status when each event occurs. The event identification method is tested using test data based on simulated results of a transient analysis program for boiling water reactors. It is confirmed that a neural network can identify an event in which it has been trained even when the plant conditions, such as fuel burnup, differ from those used in the training and when the analog data contain white noise. The network does not mistakenly identify the nontrained event as a trained one. The method is feasible for event identification, and knowledge processing improves the reliability of the identification.


Journal of Nuclear Science and Technology | 1996

Evaluation Tests of Event Identification Method Using Neural Network at Kashiwazaki Kariwa Nuclear Power Station Unit No.4

Yukiharu Ohga; Setsuo Arita; Takaharu Fukuzaki; Naoshi Tanikawa; Yoshiyuki Takano; Shinobu Shiratori; Toshiyuki Wada

An event identification method using a neural network has been evaluated in an on-line environment during the plant startup test at Unit No.4 Plant in the Kashiwazaki Kariwa Nuclear Power Station. In the method, the neural network identifies the event from the change pattern of analog data, such as reactor pressure signals, and then the result is confirmed or similar events are discriminated using digital data, such as valve open signals. Before the test the neural network is trained for the events causing a reactor scram by using analysis results. For the test the method is incorporated into a prototype of the alarm handling system which is connected to the plant facilities. Five kinds of analog data are acquired and eight sampled data from each, namely a total of 40 data, are input to the neural network after normalization. The results show that the load rejection, the turbine trip and the main steam isolation valve closure events are correctly identified from 9 kinds of subject events, regardless of th...


2012 20th International Conference on Nuclear Engineering and the ASME 2012 Power Conference | 2012

Thermal Hydraulic Test of Advanced Fuel Bundle With Spectral Shift Rod (SSR) for BWR: Steady State and Transient Test Results and Analysis

Takao Kondo; Kazuaki Kitou; Masao Chaki; Yukiharu Ohga; Takeshi Makigami

Japanese national project of next generation light water reactor (LWR) development started in 2008. Under this project, spectral shift rod (SSR) is being developed.SSR, which replaces conventional water rod (WR) of boiling water reactor (BWR) fuel bundle, was invented to enhance the BWR’s merit, spectral shift effect for uranium saving. In SSR, water boils by neutron and gamma-ray direct heating and water level is formed as a boundary of the upper steam region and the lower water region. This SSR water level can be controlled by core flow rate, which amplifies the change of average core void fraction, resulting in the amplified spectral shift effect.This paper presents the steady state test with varied SSR geometry parameters, the transient test, and the simulation analysis of these steady state and transient tests. The steady state test results showed that the basic functioning principle such as the controllability of SSR water level by flow rate was maintained in the possible range of geometry parameters. The transient test results showed that the change rate of SSR water level was slower than the initiating parameters. The simulation analysis of steady state and transient test showed that the analysis method can simulate the height of SSR water level and its change with a good agreement.As a result, it is shown that the SSR design concept and its analysis method are feasible in both steady state and transient conditions.Copyright


18th International Conference on Nuclear Engineering: Volume 6 | 2010

Thermal Hydraulic Test of Advanced BWR Fuel Bundle With Spectral Shift Rod (SSR): Overview and Pre-Test Analysis by TRACG Code

Takao Kondo; Masao Chaki; Yukiharu Ohga; Moriyasu Abe

Japanese national project of next generation light water reactor (LWR) development started in 2008. As one of its development items, the thermal-hydraulic test of spectral shift rod (SSR) is planned. A new component called SSR, which replaces conventional water rod (WR) of boiling water reactor (BWR) fuel bundle, was invented to enhance the BWR’s merit, spectral shift effect for uranium saving. In SSR, water boils by neutron and gamma-ray direct heating and water level is formed as a boundary of the upper steam region and the lower water region. This SSR water level can be controlled by core flow rate, which amplifies core void fraction change, resulting in the amplified spectral shift effect. In this paper, its test plan overview and pre-test analysis by TRACG code is presented. The test plan was developed with the purpose of evaluating SSR thermal-hydraulic characteristics at the actual BWR operating condition (7MPa), such as the controllability of SSR water level, and obtaining data for the validation of calculation method. In the test plan, several types of SSR simulation which covers SSR design in both next generation BWR and conventional BWR were designed. Also test operating conditions such as thermal-hydraulic parameters are determined. In order to evaluate these test specifications, pre-test analysis by TRACG code was conducted. Analysis results of each parameter’s effect on SSR characteristics are consistent with SSR mechanism, which shows that the actual operating condition for SSR fuel is simulated well.Copyright


Archive | 1998

Information presentation apparatus and information display apparatus

Setsuo Arita; Yukiharu Ohga; Hiroyuki Yuchi; Hiroshi Seki; Yukio Nagaoka; Koichi Kawaguchi; Akira Kaji


Archive | 1990

Plant operating and monitoring apparatus

Setsuo Arita; Tetsuo Ito; Yukiharu Ohga; Fumio Murata; Yuichi Higashikawa; Hideyuki Sato; Mitsuru Kudo; Yuuzi Yamasawa


Archive | 1994

Automatic alarm display processing system in plant

Setsuo Arita; Yukiharu Ohga; Takaharu Fukuzaki; Koichi Kawaguchi; Hiroyuki Yuchi; Tetsuo Ito


Archive | 1993

Information processing apparatus using pointing input and speech input

Yukiharu Ohga; Hiroshi Seki; Setsuo Arita; Koichi Kawaguchi


Archive | 1995

Information processing apparatus having a neural network and an expert system

Setsuo Arita; Tetsuo Ito; Yukiharu Ohga; Hiroshi Ujita; Fumio Murata; Masao Miyake; Yasuo Nishizawa


Transactions of the American Nuclear Society | 1991

Using a neural network for abnormal event identification in BWRs

Yukiharu Ohga; Hiroshi Seki

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