| Autor: |
Yu.N. Kazakov, I.N. Stebakov, S.G. Popov, A. V. Kornaev |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Fundamental and Applied Problems of Engineering and Technology. 5:73-79 |
| ISSN: |
2073-7408 |
| DOI: |
10.33979/2073-7408-2020-343-5-73-79 |
| Popis: |
Cluster analysis is widely used in the machine diagnostic and monitoring field. This article discusses the issue of recognizing the states of rotary-support systems with fluid-friction bearings. An experiment was carried out to investigate the effect of tightening the bolts that connect rotor-support unit body to the frame; to investigate the effect of tightening the bolts that connect electric motor to the frame; to investigate the rotor imbalance, as well as a combination of these factors. Cluster analysis based on the K-means method was applied. The readings of the eddy- current transducer were used as an input data for training. Analysis of the results revealed two groups of defects. During testing, the accuracy of group identification was 100%. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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