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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Bibliographische Detailangaben

Hauptverfasser:	Dli, M. I., Puchkov, A. Yu, Lobaneva, E. I., Chernovalova, M. V.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithms Apatite Artificial neural networks Diagnostic systems Fuzzy logic Life prediction Nepheline Phosphorus Service life
Online-Zugang:	Volltext
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