Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Paweł D. Domański"'
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3331 (2024)
This paper presents an application of L-moments and respective L-moment ratio diagrams (LMRD) to the task of control performance assessment (CPA). An L-moment ratio diagram is a graphical approach to the visualization of statistical properties for a
Externí odkaz:
https://doaj.org/article/2a1065acdc1547b4b874705c176f289e
Autor:
Paweł D. Domański
Publikováno v:
Energies, Vol 17, Iss 5, p 1173 (2024)
Generally, control system design and the associated assessment of control system quality focuses on cutting-edge performance. Most of the approaches and applied indicators aim for this goal. However, the current times increasingly indicate the need t
Externí odkaz:
https://doaj.org/article/9093b558b129484ead88396ad1995141
Publikováno v:
Algorithms, Vol 16, Iss 8, p 360 (2023)
Freight forwarding and transportation are the backbone of the modern economy. There are thousands of transportation companies on the market whose sole purpose is to deliver ordered goods from pickup to delivery. Transportation can be carried out by t
Externí odkaz:
https://doaj.org/article/1d4290fefaaa41618730e0d00392c275
Autor:
Michał J. Falkowski, Paweł D. Domański
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 5849 (2023)
This paper presents the results of an analysis of causality detection in a multi-loop control system. The investigation focuses on application of the Transfer Entropy method, which is not commonly used during the exact construction of information and
Externí odkaz:
https://doaj.org/article/03110564f6b446f29c21183f756981bb
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5720 (2023)
The paper demonstrates the influence of leading variables on the quality evaluation of the operation of univariate control loops of a multi-loop control system used in a 1000 MW power unit. We analyse the course of the setpoint and process values, th
Externí odkaz:
https://doaj.org/article/7f4554a9d66a407b82b50c23cdff79e4
Autor:
Paweł D. Domański
Publikováno v:
Sensors, Vol 22, Iss 22, p 8910 (2022)
Actuator, mostly valve, wearing is an important factor of the overall industrial control system operational cost. Actuator operational wear strongly depends on its operation. Highly utilized elements have a tendency to degrade faster. Therefore, the
Externí odkaz:
https://doaj.org/article/f81c4e71c05745b7a7065babe803ce04
Publikováno v:
Applied Sciences, Vol 12, Iss 8, p 3784 (2022)
This paper addresses the subject of causality analysis using simulation data and data collected from a real control system. Simulated data includes Gaussian and Cauchy noise signals. Real-time series include various, mostly unknown distortions, like
Externí odkaz:
https://doaj.org/article/7624239024c04fc4a6b1c154bca6f772
Autor:
Patryk Chaber, Paweł D. Domański, Daniel Dąbrowski, Maciej Ławryńczuk, Robert Nebeluk, Sebastian Plamowski, Krzysztof Zarzycki
Publikováno v:
Sensors, Vol 22, Iss 2, p 678 (2022)
The digital twins technology delivers a new degree of freedom into system implementation and maintenance practice. Using this approach, a technological system can be efficiently modeled and simulated. Furthermore, such a twin offline system can be ef
Externí odkaz:
https://doaj.org/article/867e34e9c9444c839a153b2f86c43f15
Autor:
Paweł D. Domański
Publikováno v:
Algorithms, Vol 13, Iss 4, p 97 (2020)
Model Predictive Control constitutes an important element of any modern control system. There is growing interest in this technology. More and more advanced predictive structures have been implemented. The first applications were in chemical engineer
Externí odkaz:
https://doaj.org/article/c8d7a10c719c4e8382e787271b846e54
Publikováno v:
Algorithms, Vol 11, Iss 7, p 90 (2018)
The significant task for control performance assessment (CPA) is to review and evaluate the performance of the control system. The control system in the semiconductor industry exhibits a complex dynamic behavior, which is hard to analyze. This paper
Externí odkaz:
https://doaj.org/article/10a2c768dad0442eb250b364938a7f4a