Measurement Systems of an Electromagnetic Field for Aircrafts with the Use of Machine Learning Model
Artykuł w czasopiśmie
MNiSW
100
Lista 2024
| Status: | |
| Autorzy: | Michałowska Joanna, Tomiło Paweł |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2024 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 3 |
| Wolumen/Tom: | 31 |
| Strony: | 1 - 17 |
| Impact Factor: | 1,0 |
| Web of Science® Times Cited: | 0 |
| Scopus® Cytowania: | 0 |
| Bazy: | Web of Science | Scopus | Google Scholar |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 27 czerwca 2024 |
| Abstrakty: | angielski |
| In this article, a new low-cost measurement system for measuring the electric component of the electromagnetic field is presented. For the initial calibration of the new measurement system, a reference meter was used, based on its readings, calibration was carried out using a machine learning model. Initial calibration was carried out in a GTEM 1000 with a Teseq ITS 6006 generator connected. Five models were compared, among which the K-Nearest Neighbors (KNN) model had the highest accuracy. The model was tested on 5 types of aircrafts, and its readings were compared with a reference sensor. Test measurements were carried out in five types of aircrafts: Cessna C172, Aero AT-3 R100, Tecnam P2006T, PZL M28 Bryza and the Mi -8 helicopter with the developed new measurement system and a reference meter (NHT3DL) with 01E probe. The new measurement system is small in size and fits anywhere in the aircraft cockpit. To compare the models, the following metrics were used: the coefficient of determination, mean absolute error, mean square error and root mean square error. The Two-sample Kolmogorov-Smirnov tests were used for analysis, and Bag of Words and Bag of Patterns methods were applied. |
