Neural fuzzy network configurator for calculating a residual life of production equipment; Journal of Physics: Conference Series; Vol. 2291 : Electronic Devices and Control Systems (EDCS 2021)
| Parent link: | Journal of Physics: Conference Series Vol. 2291 : Electronic Devices and Control Systems (EDCS 2021).— 2022.— [012004, 7 p.] |
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| Diğer Yazarlar: | , |
| Özet: | Title screen In this paper, an intelligent fault diagnosis scheme based on big data analysis method and adaptive neuro-fuzzy inference system (ANFIS) is proposed. An experimental study is given on the example of an electric drive of a stirrer of a hydrogenator reactor to illustrate the effectiveness of the proposed method and algorithmic solutions. Numerical experiments demonstrated the possibility of scaling proposed methodology for a wide class of similar process objects with the achievement of accuracy not less than 96.5%. The residual life calculation based on the ANFIS model have been carried out. |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
2022
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| Online Erişim: | http://earchive.tpu.ru/handle/11683/81010 https://doi.org/10.1088/1742-6596/2291/1/012004 |
| Materyal Türü: | Elektronik Kitap Bölümü |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668289 |
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| 200 | 1 | |a Neural fuzzy network configurator for calculating a residual life of production equipment |f M. E. Semenov, S. A. Iljina, A. L. Rutskov | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 17 tit.] | ||
| 330 | |a In this paper, an intelligent fault diagnosis scheme based on big data analysis method and adaptive neuro-fuzzy inference system (ANFIS) is proposed. An experimental study is given on the example of an electric drive of a stirrer of a hydrogenator reactor to illustrate the effectiveness of the proposed method and algorithmic solutions. Numerical experiments demonstrated the possibility of scaling proposed methodology for a wide class of similar process objects with the achievement of accuracy not less than 96.5%. The residual life calculation based on the ANFIS model have been carried out. | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\3526 |t Journal of Physics: Conference Series | |
| 463 | |t Vol. 2291 : Electronic Devices and Control Systems (EDCS 2021) |o the 17th International Conference,17-19 November 2021, Online |v [012004, 7 p.] |d 2022 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 700 | 1 | |a Semenov |b M. E. |c mathematician |c Associate Professor of Tomsk Polytechnic University, Candidate of physical and mathematical sciences |f 1978- |g Mikhail Evgenievich |3 (RuTPU)RU\TPU\pers\31889 |9 15961 | |
| 701 | 1 | |a Iljina |b S. A. |g Sofjya Andreevna | |
| 701 | 1 | |a Rutskov |b A. L. |g Aleksey Leonidovich | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа ядерных технологий |b Отделение экспериментальной физики |3 (RuTPU)RU\TPU\col\23549 |
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