Industrial and Systems Engineering | Article | Published 2022

METHODS AND MODELS FOR DIAGNOSING TECHNOLOGICAL OBJECTS

Publisher: МАШИНАСОЗЛИК ИЛМИЙ-ТЕХНИКА ЖУРНАЛИ
Collection: SCIENTIFIC AND TECHNICAL JOURNAL MACHINE BUILDING
Keywords: neyro-noqat’iy model, neyron tarmoq, mashinali boshqarish usullari va algoritmlari, tashhislash metodlari.

Abstract

The modern business world is becoming more and more technological. Many areas quickly realized their potential. Artificial intelligence (AI) and machine learning in the refining of gas-oriented sectors have evolved more slowly. This is largely due to the fact that the industry is very slowly realizing its potential. However, this situation is gradually changing. Machine learning used for the diagnosis of extraction columns using a neuro-fuzzy method can be used to expand the capabilities and mechanisms of work to increase the competitiveness of this sector in complex industrial plants, oil refining, petrochemical, gas and other industries. Not only can this help streamline the workforce. The technology can also be used to optimize the extraction and delivery of accurate models. These benefits are just some of the reasons why machine learning in the oil and gas industry is becoming increasingly important.

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