In the present study, early detection of anomaly and failure identification have been studied based on the signals simulated based on the real plant parameters. The specific feature of the present method is the use of similarity defined based on the multi-attributes of measured parameters. The frequency and time domain characteristics have been adopted as the attributes showing the symptom of failures. The five failure transients and four kinds of specific signal anomaly have been simulated and used as...
英字タイトル:
Anomaly Diagnosis based on Multi-attribute Similarity

The framework of intelligent support system for the maintenance of nuclear power plant is proposed in this paper with emphasis on the combined use of a portable device and intelligent information processing. The purpose of this system is the realization of flexible inspection process and effective diagnosis process to be performed on-site. The prototype system has been implemented for the experimental facility with mobile-agent technology and PDA (personal digital assistant) to show the basic function...
英字タイトル:
Development of Maintenance Support System using Portable Device and Mobile Agent

The evaluation method for maintenance optimization in long-term operation of nuclear power plant (NPP) has been proposed by using Probabilistic Safety Assessment (PSA) in general. Possible troubles in the maintenance activities of NPP are modeled and simulated by using Fault Tree with failure rates of components estimated by operating experiences in Japan. The Monte-Carlo simulation has been performed to compare the maintenance strategies such as cycle extension of periodic inspection and overhaul for...
英字タイトル:
Development of an Evaluation Method for Maintenance Optimization in Long-term Operation of Nuclear Power Plant with Probabilistic Safety Assessment