- 著者
- Yasunobu Yoshida Shigekazu Katagiri Masato Kawaguchi
- 出版者
- 一般社団法人 電気学会
- 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.123, no.5, pp.602-607, 2003 (Released:2004-03-31)
- 参考文献数
- 7
- 被引用文献数
- 1 1
This paper describes the temperature rise and the thermal stability of tank type power capacitors and a analyzing method of the stability and permissible overload factor using a computer. When capacitor is operated at high ambient temperature and under excessive high voltage, the temperature of the dielectric rises higher and in some cases the capacitor looses the thermal balance and finally breakdowns thermally.We measured the heat radiation coefficient and temperature rise of the capacitor, and clarified that the radiated heat calculated from the heat radiation coefficient and the area of the tank coincided with the generated heat calculated from the output of the capacitor and the loss factor of the dielectric. Furthermore we developed analyzing method of thermal stability and permissible overload factor of capacitors using a computer. By this analysis it becomes possible to know the permissible overload factor and the temperature of the capacitor dielectric without performing the temperature rise test which requires long time and much cost.
- 著者
- Masato Kawaguchi Hideyuki Kato
- 出版者
- The Institute of Electronics, Information and Communication Engineers
- 雑誌
- Nonlinear Theory and Its Applications, IEICE (ISSN:21854106)
- 巻号頁・発行日
- vol.14, no.3, pp.590-608, 2023 (Released:2023-07-01)
- 参考文献数
- 32
Some studies started analyzing time series via complex networks in the noughties. A study reported that time series, which were transformed into networks via recurrence plots (RPs), especially k-nearest neighbor RP, exhibited superfamily phenomena resulting from the network motif analysis. However, it is not hard to imagine that the transformation properties drastically change the results of the motif analysis. In this study, we examine that by introducing another type of RP.As a result, the RP employed in this study works better for the superfamily phenomena among the time series than the previously used RP.