A5058338199- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Chemical Synthesis and Reactions
- Advanced Data Processing Techniques
- Sulfur-Based Synthesis Techniques
- Process Optimization and Integration
- Metal-Catalyzed Oxygenation Mechanisms
- Mineral Processing and Grinding
- Fuzzy Logic and Control Systems
- Magnetic Properties and Applications
- Polymer Science and PVC
- Synthesis and Catalytic Reactions
- Risk and Safety Analysis
- Advanced Polymer Synthesis and Characterization
- Time Series Analysis and Forecasting
- Neural Networks and Applications
- Oxidative Organic Chemistry Reactions
- Thermal and Kinetic Analysis
- Fluid Dynamics and Mixing
- Data Mining Algorithms and Applications
- Flexible and Reconfigurable Manufacturing Systems
- Innovative Microfluidic and Catalytic Techniques Innovation
- Field-Flow Fractionation Techniques
- Microstructure and Mechanical Properties of Steels
- Metallic Glasses and Amorphous Alloys
University of Pannonia
2011-2024
Veszprémi Érseki Hittudományi Fõiskola
1995-2006
Hungarian Academy of Sciences
1982-1998
The application of white box models in digital twins is often hindered by missing knowledge, uncertain information and computational difficulties. Our aim was to overview the difficulties challenges regarding modelling aspects twin applications explore fields where surrogate can be utilised advantageously. In this sense, paper discusses what types are suitable for different practical problems as well introduces appropriate techniques building using these models. A number examples from both...
In this article, the authors focus on introduction of a hybrid method for risk-based fault detection (FD) using dynamic principal component analysis (DPCA) and failure effect (FMEA) based Bayesian networks (BNs). The FD problem has garnered great interest in industrial application, yet methods integrating process risk into procedure are still scarce. It is, however, critical to assess each possible holds differentiate between non-safety-critical safety-critical abnormalities thus minimize...
The reaction of H2 with bis(dimethylglyoximato)cobalt(II), [Co(Hdmg)2], and its 1 : pyridine (py) adduct yields 3-aminobutan-2-one oxime via hydrogenation the co-ordinated Hdmg–. Excess Hdmg– is hydrogenated catalytically. initial rate uptake first order respect to pressure second overall cobalt concentration. Axial co-ordination py, NEt2H, PPh3 enhances rate, five-co-ordinate adducts being more reactive than parent cobaloxime(II). spectrophotometric stability constants for 2 py are 186 0.75...
Exothermic reactions carried out in batch reactors need a lot of attention to operate because any insufficient condition can lead thermal runaway causing an explosion the worst case. Therefore, well-designed intervention action is necessary avoid non-desired events. For this problem, we propose use resilience-based reinforcement learning, where artificial agent decide whether intervene or not based on current state system. One our goals design resilient systems, which means designing systems...
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Abstract
The body of most fishes is fully covered by scales that typically form tight, partially overlapping rows. While some the genes controlling formation and growth fish have been studied, very little known about genetic mechanisms regulating scale pattern formation. Although existence two with pairs alleles (S&s N&n) coverage in cyprinids has predicted Kirpichnikov colleagues nearly eighty years ago, their identity was unknown until recently. In 2009, 'S' gene found to be a paralog fibroblast...
A population balance model for batch suspension polymerization of vinyl chloride is presented. Break up into two equal volumes droplets, binary aggregation and random mass exchanges between the colliding droplets are assumed, while kinetic data taken from literature. The process analyzed by simulation applying a novel Monte Carlo method taking account breakage as well micromixing induced droplet collisions stochastic discrete event processes. results revealed that this modelling describes...
Fault Detection and Isolation (FDI) methodology focuses on maintaining safe reliable operating conditions within industrial practices which is of crucial importance for the profitability technologies. In this work, development an FDI algorithm based use dynamic principal component analysis (DPCA) Fréchet distance δdF metric explored. The three-tank benchmark problem studied utilized to demonstrate performance method six fault types. A DPCA transformation system was established, detection...