| Autor: |
Glowacz Adam, Glowacz Witold, Kozik Jarosław, Piech Krzysztof, Gutten Miroslav, Caesarendra Wahyu, Liu Hui, Brumercik Frantisek, Irfan Muhammad, Faizal Khan Z. |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Measurement Science Review, Vol 19, Iss 6, Pp 241-249 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1335-8871 |
| DOI: |
10.2478/msr-2019-0031 |
| Popis: |
Nowadays detection of deterioration of electrical motors is an important topic of research. Vibration signals often carry diagnostic information of a motor. The authors proposed a setup for the analysis of vibration signals of three-phase induction motors. In this paper rotor fault diagnostic techniques of a three-phase induction motor (TPIM) were presented. The presented techniques used vibration signals and signal processing methods. The authors analyzed the recognition rate of vibration signal readings for 3 states of the TPIM: healthy TPIM, TPIM with 1 broken bar, and TPIM with 2 broken bars. In this paper the authors described a method of the feature extraction of vibration signals Method of Selection of Amplitudes of Frequencies – MSAF-12. Feature vectors were obtained using FFT, MSAF-12, and mean of vector sum. Three methods of classification were used: Nearest Neighbor (NN), Linear Discriminant Analysis (LDA), and Linear Support Vector Machine (LSVM). The obtained results of analyzed classifiers were in the range of 97.61 % – 100 %. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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