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)

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)

Bibliographic Details
Parent link:Journal of Physics: Conference Series
Vol. 2291 : Electronic Devices and Control Systems (EDCS 2021).— 2022.— [012004, 7 p.]
Main Author: Semenov M. E. Mikhail Evgenievich
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа ядерных технологий Отделение экспериментальной физики
Other Authors: Iljina S. A. Sofjya Andreevna, Rutskov A. L. Aleksey Leonidovich
Summary: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.
Language:English
Published: 2022
Subjects:
электронный ресурс
труды учёных ТПУ
Online Access:http://earchive.tpu.ru/handle/11683/81010
https://doi.org/10.1088/1742-6596/2291/1/012004
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668289

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