| Presentation | 2020-06-05 Early detection and prevention of combustion oscillations using a symbolic dynamics/machine learning-based approach Kazuki Asami, Shinga Masuda, Hiroshi Gotoda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have conducted an experimental study on an early detection and prevention of combustion oscillations in a laboratory-scale gas-turbine model combustor using a symbolic dynamics/machine learning-based approach. The generalized entropy plane consisting of the R?nyi and Tsallis entropies appropriately captures the subtle changes in the combustion state from stable combustion to well-developed combustion oscillations. The feature space of the generalized entropy plane obtained by the support vector machine is useful for detecting a precursor of combustion oscillations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | combustion oscillations / symbolic dynamics / generalized entropy plane / machine learning / support vector machine |
| Paper # | NLP2020-19,CCS2020-9 |
| Date of Issue | 2020-05-29 (NLP, CCS) |
| Conference Information | |
| Committee | CCS / NLP |
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| Conference Date | 2020/6/5(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Shonan Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shigeki Shiokawa(Kanagawa Inst. of Tech.) / Kiyohisa Natsume(Kyushu Inst. of Tech.) |
| Vice Chair | Tetsuya Asai(Hokkaido Univ.) / Megumi Akai(Hokkaido Univ.) / Takuji Kosaka(Chukyo Univ.) |
| Secretary | Tetsuya Asai(Kanagawa Inst. of Tech.) / Megumi Akai(TDK) / Takuji Kosaka(Kyushu Inst. of Tech.) |
| Assistant | Hidehiro Nakano(Tokyo City Univ.) / Hiroyasu Ando(Tsukuba Univ.) / Takashi Matsubara(Kobe Univ.) / Kosuke Sanada(Mie Univ.) / Toshikaza Samura(Yamaguchi Univ.) / Hideyuki Kato(Oita Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Complex Communication Sciences / Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Early detection and prevention of combustion oscillations using a symbolic dynamics/machine learning-based approach |
| Sub Title (in English) | |
| Keyword(1) | combustion oscillations |
| Keyword(2) | symbolic dynamics |
| Keyword(3) | generalized entropy plane |
| Keyword(4) | machine learning |
| Keyword(5) | support vector machine |
| 1st Author's Name | Kazuki Asami |
| 1st Author's Affiliation | Tokyo University of Science Graduate School(TUS) |
| 2nd Author's Name | Shinga Masuda |
| 2nd Author's Affiliation | Tokyo University of Science Graduate School(TUS) |
| 3rd Author's Name | Hiroshi Gotoda |
| 3rd Author's Affiliation | Tokyo University of Science(TUS) |
| Date | 2020-06-05 |
| Paper # | NLP2020-19,CCS2020-9 |
| Volume (vol) | vol.120 |
| Number (no) | NLP-55,CCS-56 |
| Page | pp.pp.41-44(NLP), pp.41-44(CCS), |
| #Pages | 4 |
| Date of Issue | 2020-05-29 (NLP, CCS) |