| Presentation | 2021-10-07 Research on technology for predicting the causes and locations of system abnormalities Hiroki Nishida, Ryuji Sanuki, Nanako Yoshimura, Hideaki Kimura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the shortage of engineers has become a problem due to the declining birthrate and aging population. In this paper, we propose a system for identifying failure locations and factors using reverse engineering technology. The proposed system constructs an object to be evaluated on a computer and identifies anomalies and causes of anomalies by linking artificial intelligence (AI) technology and numerical calculation technology. To verify the validity of the proposed system, numerical calculations and evaluation experiments were conducted in a one-dimensional space, and the results are reported. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Anomaly location / system coordination / finite difference time domain method / machine learning |
| Paper # | EMCJ2021-31,MW2021-43,EST2021-33 |
| Date of Issue | 2021-09-30 (EMCJ, MW, EST) |
| Conference Information | |
| Committee | EST / MW / EMCJ / IEE-EMC |
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| Conference Date | 2021/10/7(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Jun Shibayama(Hosei Univ.) / Noriharu Suematsu(Tohoku Univ.) / Atsuhiro Nishikata(Tokyo Inst. of Tech.) |
| Vice Chair | Masayuki Kimishima(Advantest) / Yasuhide Tsuji(Muroran Inst. of Tech.) / Yasuo Ohtera(Toyama Prefectural Univ.) / Tadashi Kawai(Univ. of Hyogo) / Kensuke Okubo(Okayama Prefectural Univ.) / Hideyuki Nakamizo(Mitsubishi Electric) / Kimihiro Tajima(NTT-AT) |
| Secretary | Masayuki Kimishima(ENRI) / Yasuhide Tsuji(yoto Univ.) / Yasuo Ohtera(Saitama Univ.) / Tadashi Kawai(Toshiba) / Kensuke Okubo(NAIST) / Hideyuki Nakamizo(Hitachi) / Kimihiro Tajima |
| Assistant | Seiya Kishimoto(Nihon Univ.) / Akito Iguchi(Muroran Inst. of Tech) / Naoki Hasegawa(Softbank) / Kosuke Katayama(Waseda Univ.) / Kiyoto Matsushima(Hitachi) / Hiroyoshi Shida(EMC Tech.) / Tohlu Matsushima(Kyushu Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Electronics Simulation Technology / Technical Committee on Microwaves / Technical Committee on Electromagnetic Compatibility / Technical Meeting on Electromagnetic Compatibility |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Research on technology for predicting the causes and locations of system abnormalities |
| Sub Title (in English) | |
| Keyword(1) | Anomaly location |
| Keyword(2) | system coordination |
| Keyword(3) | finite difference time domain method |
| Keyword(4) | machine learning |
| 1st Author's Name | Hiroki Nishida |
| 1st Author's Affiliation | Chubu University(Chubu Univ.) |
| 2nd Author's Name | Ryuji Sanuki |
| 2nd Author's Affiliation | Chubu University(Chubu Univ.) |
| 3rd Author's Name | Nanako Yoshimura |
| 3rd Author's Affiliation | Chubu University(Chubu Univ.) |
| 4th Author's Name | Hideaki Kimura |
| 4th Author's Affiliation | Chubu University(Chubu Univ.) |
| Date | 2021-10-07 |
| Paper # | EMCJ2021-31,MW2021-43,EST2021-33 |
| Volume (vol) | vol.121 |
| Number (no) | EMCJ-186,MW-187,EST-188 |
| Page | pp.pp.21-24(EMCJ), pp.21-24(MW), pp.21-24(EST), |
| #Pages | 4 |
| Date of Issue | 2021-09-30 (EMCJ, MW, EST) |