Innovative methods of neural reconstruction for tomographic images in maintenance of tank industrial reactors
Ładowanie...
Data
2019
Inny tytuł
Typ
Artykuł recenzyjny
Autorzy
Redaktor
dc.contributor.advisor
Dyscyplina PBN
Informatyka techniczna i telekomunikacja
Czasopismo lub seria
Eksploatacja i Niezawodność – Maintenance and Reliability
ISSN
1507-2711
2956-3860
2956-3860
ISBN
DOI
10.17531/ein.2019.2.10
Strona internetowa
Wydawca
Wydawca
Wydanie
Numer
Strony od-do
Tytuł monografii
item.page.defence
Tytuł tomu
Opis
Rodzaj licencji
Abstrakt (en)
The article presents an innovative concept of improving the monitoring and optimization of industrial processes. The developed method is based on a system of many separately trained neural networks, in which each network generates a single point of the output image. Thanks to the elastic net method, the implemented algorithm reduces the correlated and irrelevant variables from the input measurement vector, making it more resistant to the phenomenon of data noises. The advantage of the described solution over known non-invasive methods is to obtain a higher resolution of images dynamically appearing inside the reactor of artifacts (crystals or gas bubbles), which essentially contributes to the early detection of hazards and problems associated with the operation of industrial systems, and thus increases the efficiency of chemical process control.