W czasopiśmie "Advances in Science and Technology Research Journal" (IF: 1.0, 100 pkt MNiSW) ukazał się artykuł: Hotra A., Grądz Ż., Kovtun S., Boyko O., Hanus R., Wilk B.: Possibilities of regression analysis in processing thermal conductivity measurement data. Advances in Science and Technology Research Journal 19(4) 2025, 294-303. Artykuł jest efektem prac prowadzonych w ramach stażu zrealizowanego w naszej katedrze przez Panie: prof. dr hab. inż. Oleksandrę Hotrę i dr inż. Żaklin Grądz z Politechniki Lubelskiej (https://kmisd.prz.edu.pl/aktualnosci/staz-pracownikow-politechniki-lubelskiej-w-kmisd-102.html).
Abstract:
When implementing energy saving measures, the correct choice of thermal insulation materials, the main characteristic of which is the thermal conductivity coefficient, is of key importance. Missing part of the data, which may occur during investigation of materials under natural conditions, can lead to incorrect determination of the corresponding characteristic, which negatively affects the effectiveness of the implemented measures and energy saving. Therefore, reconstruction of the missing data at the stage of preliminary processing of measured signals to obtain complete and accurate data when determining the thermal conductivity of thermal insulation materials will enable to avoid this situation. The article presents the results of regression analysis of data obtained during express control of thermal conductivity of thermal insulation materials based on the local thermal impact method. Regression models were built for signal reconstruction with 10%, 20% and 30% missing data, using which a relative error of determination the thermal conductivity coefficient of less than 8% was obtained. This is acceptable for express control of thermal conductivity and indicates the correctness of data restoration in this way. In addition, an algorithm is provided for determining signal stationarity, which enables to reasonably reduce the duration of each material with a given level of permissible error.
Kolejna publikacja w "Advances in Science and Technology Research Journal"
2025-02-20
