Neural fuzzy network configurator for calculating a residual life of production equipment

Neural fuzzy network configurator for calculating a residual life of production equipment

Λεπτομέρειες βιβλιογραφικής εγγραφής
Parent link:	Journal of Physics: Conference Series Vol. 2291 : Electronic Devices and Control Systems (EDCS 2021).— 2022.— [012004, 7 p.]
Κύριος συγγραφέας:	Semenov M. E. Mikhail Evgenievich
Συγγραφή απο Οργανισμό/Αρχή:	Национальный исследовательский Томский политехнический университет Инженерная школа ядерных технологий Отделение экспериментальной физики
Άλλοι συγγραφείς:	Iljina S. A. Sofjya Andreevna, Rutskov A. L. Aleksey Leonidovich
Περίληψη:	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.
Γλώσσα:	Αγγλικά
Έκδοση:	2022
Θέματα:	электронный ресурс труды учёных ТПУ
Διαθέσιμο Online:	http://earchive.tpu.ru/handle/11683/81010 https://doi.org/10.1088/1742-6596/2291/1/012004
Μορφή:	Ηλεκτρονική πηγή Κεφάλαιο βιβλίου
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668289

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