著者

横水 康伸 松村 年郎 鬼頭 幸生

出版者

The Institute of Electrical Engineers of Japan

雑誌

電気学会論文誌B(電力・エネルギー部門誌) (ISSN:03854213)

巻号頁・発行日

vol.119, no.7, pp.834-839, 1999-07-01 (Released:2008-12-19)

参考文献数

3

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Experimental investigation on short-circuit phenomenon through ejected hot gas between source-side terminals in molded case circuit breakers (MCCB's) was performed. The occurrence rate of short-circuit phenomenon proved to increase with the peak value of breaking current and with the order of breaking test. The conductance of the ejected hot gas was also found to rise with the peak value of the breaking current and with the order of the breaking test. These results indicate that the hot gas with high conductance causes the short-circuit phenomenon to happen. Then some effective means were taken in the MCCB to reduce the conductance of the hot gas. Decreasing in the conductance of the hot gas successfully prevented the short-circuit phenomenon from occurring.

著者

水野 勝教 林 伸久 後藤 泰之 雪田 和人 一柳 勝宏 横水 康伸 松村 年郎

出版者

一般社団法人 電気学会

雑誌

電気学会論文誌. B (ISSN:03854213)

巻号頁・発行日

vol.120, no.5, pp.665-671, 2000

被引用文献数

3

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This paper describes an application of a neural network for estimating the ground rainfall from radar echo data. A neural network system for this purpose is developed through a case study on a dam for hydro-power plant located the upper district of the Ooi River in Central Japan. We use the neural network comprised of three layers; an input layer, a hidden layer and output layer. The input data to the neural network are any numebr of radar echo amount observed in each radar mesh and x-y-z coordinates showing its location.<br> The four types of neural networks with different number of input units are proposed and discussed the relative importance of the number of input data. It is found that the estimating system using the most simple neural network yields good results for rainfall distribution.