Evaluating the state of a phosphorus production system in the service life prediction problem

The paper proposes an algorithm for processing technical and diagnostic information aimed at evaluating the state of a system for industrial production of phosphorus from apatite-nepheline ore wastes in the problem of predicting its useful life. The algorithm structure is based on deep convolutional...

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Bibliographic Details
Main Authors: Dli, M. I., Puchkov, A. Yu, Lobaneva, E. I., Chernovalova, M. V.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Apatite
Artificial neural networks
Diagnostic systems
Fuzzy logic
Life prediction
Nepheline
Phosphorus
Service life
Online Access:Get full text
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Summary:The paper proposes an algorithm for processing technical and diagnostic information aimed at evaluating the state of a system for industrial production of phosphorus from apatite-nepheline ore wastes in the problem of predicting its useful life. The algorithm structure is based on deep convolutional neural networks, the aggregation of the results of their work with other diagnostic data being based on the methods of fuzzy logics.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0036810