Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Agnes Barkanyi"'
Publikováno v:
Chemical Engineering Transactions, Vol 99 (2023)
One of the most critical components of the chemical industry in terms of crystallisation is the pharmaceutical sector. Most medicine components are expensive and require complex processes for their production, so producing waste is highly inefficient
Externí odkaz:
https://doaj.org/article/1a3bff26d12549e9921d4a9888d685df
Publikováno v:
Chemical Engineering Transactions, Vol 91 (2022)
In recent years the fault detection and isolation (FDI) problems have garnered increasing interest due to concerns of environmental protection, stricter regulations and optimization of processes within industrial settings. The use of data-based metho
Externí odkaz:
https://doaj.org/article/3f715255839f46e48dc72d238c9f804f
Publikováno v:
Sensors, Vol 21, Iss 10, p 3359 (2021)
The targeted shortening of sensor development requires short and convincing verification tests. The goal of the development of novel verification methods is to avoid or reduce an excessive amount of testing and identify tests that guarantee that the
Externí odkaz:
https://doaj.org/article/96eb7833dbb24fcdb54c3759d30afe9c
Publikováno v:
Processes; Volume 10; Issue 11; Pages: 2409
Fault Detection and Isolation (FDI) methodology focuses on maintaining safe and reliable operating conditions within industrial practices which is of crucial importance for the profitability of technologies. In this work, the development of an FDI al
Publikováno v:
Chemical Engineering Journal Advances, Vol 17, Iss , Pp 100586- (2024)
In this study a 2D visualization technique is presented that is suitable for determining the optimal operational parameters of solid waste gasification depending on the intended use of the product. Steam gasification of different wastes (wheat straw,
Externí odkaz:
https://doaj.org/article/fbd048b23088425d8994c3ee457bab3e
Autor:
Bálint Levente Tarcsay, Ágnes Bárkányi, Sándor Németh, Tibor Chován, László Lovas, Attila Egedy
Publikováno v:
Sensors, Vol 24, Iss 11, p 3511 (2024)
In this article, the authors focus on the introduction of a hybrid method for risk-based fault detection (FD) using dynamic principal component analysis (DPCA) and failure method and effect analysis (FMEA) based Bayesian networks (BNs). The FD proble
Externí odkaz:
https://doaj.org/article/e2319c3a07ee464ba5b7d93805cbe602
Publikováno v:
Chemical Engineering Transactions, Vol 39 (2014)
Scopus-Elsevier
Scopus-Elsevier
A simulation program was developed to analyze the influence of temperature profiles of the continuous phase on the polymer properties and monomer conversion in suspension polymerization reactors of vinyl chloride. Polymerization reactions are highly
Publikováno v:
ChemEngineering, Vol 7, Iss 2, p 21 (2023)
In this simulation study, we compare the dynamics and thermal behavior of different ideal flow crystallizers. The first step in creating mathematical models for the crystallizers was the implementation of the population balance equation. The populati
Externí odkaz:
https://doaj.org/article/b1e1151a7a5f4ecc858f3276f15b613f
Publikováno v:
Chemical Engineering Transactions, Vol 88 (2021)
Fault detection and isolation have become increasingly important problems over time, due to the more complex and larger scale industrial systems. The last few decades have seen a rise in research focused on developing robust and sensitive fault detec
Externí odkaz:
https://doaj.org/article/57b85c14fd9946fc8546d6300e4e0803