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

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 propo...

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Bibliographic Details
Published in:Journal of physics. Conference series 2022-07, Vol.2291 (1), p.12004
Main Authors: Semenov, M E, Ilina, S A, Rutskov, A L
Format: Article
Language:English
Subjects:
Adaptive systems
Artificial neural networks
Data analysis
Electric drives
Fault diagnosis
Fuzzy logic
Fuzzy sets
Physics
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Summary: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.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2291/1/012004