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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| المؤلف الرئيسي: | |
| مؤلف مشترك: | |
| مؤلفون آخرون: | , |
| الملخص: | 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. |
| اللغة: | الإنجليزية |
| منشور في: |
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://earchive.tpu.ru/handle/11683/81010 https://doi.org/10.1088/1742-6596/2291/1/012004 |
| التنسيق: | الكتروني فصل الكتاب |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668289 |