K
Kenichiro Furuya
Researcher at Toshiba
Publications - 4
Citations - 73
Kenichiro Furuya is an academic researcher from Toshiba. The author has contributed to research in topics: Combined cycle & Steam turbine. The author has an hindex of 4, co-authored 4 publications receiving 68 citations.
Papers
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Journal ArticleDOI
Risk-based inspection and maintenance systems for steam turbines
Kazunari Fujiyama,Satoshi Nagai,Yasunari Akikuni,Toshihiro Fujiwara,Kenichiro Furuya,Matsumoto Shigeru,Kentaro Takagi,Taro Kawabata +7 more
TL;DR: In this paper, a risk-based maintenance (RBM) system was developed for steam turbine plants coupled with the quick inspection systems, where the failure modes are determined for each component of steam turbines and the failure scenarios are described as event trees.
Patent
Soleplate of steam turbine, installation structure of steam turbine and uniaxial combined cycle plant
TL;DR: In this paper, a soleplate for installing a steam turbine on a base concrete is placed on a grout pad and fixed between the base concrete and the soleplate by concreting.
Patent
Examining device for internal structure of turbine and examining method using same
Toshihiro Fujiwara,Kazunari Fujiyama,Kenichiro Furuya,Taiji Hirasawa,Taro Kawabata,Hitoshi Kichise,Hirotsugu Kodama,Masanori Minowa,Satoshi Nagai,Mitsuyoshi Okazaki,Kazuhiro Saito,寛嗣 児玉,健一郎 古谷,仁志 吉瀬,光芳 岡崎,太郎 川端,泰治 平澤,昌則 蓑和,敏洋 藤原,一成 藤山,敏 長井,和宏 齊藤 +21 more
TL;DR: In this paper, the authors propose an examining device for the internal structure of a turbine capable of reducing procedure of disassembly of a device and quantitatively examining circumstances of the turbine nozzle in the inspection of the inside of the device.
Patent
Repair plan support method and apparatus for plant equipment member
Kazunari Fujiyama,Kubo Takahiro,Yasunari Akikuni,Mitsuyoshi Okazaki,Hitoshi Kichise,Toshihiro Fujiwara,Hirotsugu Kodama,Matsumoto Shigeru,Kenichiro Furuya,Inoue Masayoshi,Shigeru Harada,Taro Kawabata +11 more
TL;DR: In this paper, the authors provide an apparatus capable of predicting an amount of damage of equipment members quantitatively, evaluating probability that the amount of repair needing repairing is reached and its risk, and detecting optimal repair criteria and repair time.