# Design and Testing of a Measurement Device for High-Speed Bearing Evaluation
## 3 Results  
Measuring the dynamic response of the bearing-system environment through vibrations with frequencies up to 60 kHz is a significant tool in the field of diagnostics and monitoring the condition of rolling bearings and related systems. These vibrations serve to provide information about various issues such as bearing wear, inadequate lubrication, misalignment, and imbalance. Analyzing the frequency spectrum of these vibrations allows for the identification of characteristic components for different types of faults and problems.  
Measuring dynamic responses has become an integral part of predictive maintenance, serving as an early warning system for potential faults and issues and thereby contributing to increased safety and minimized downtime in industrial processes. Additionally, it has a significant impact on quality control in manufacturing and the validation of new designs.  
The main goal was to conduct preliminary measurements to test the constructed stand and verify the measurability of the dynamic operational characteristics of selected bearings. In this specific case of a measurement, the overall dynamic response of the bearing-system was monitored using vibrations up to 60 kHz. This measurement was performed while increasing the speed of the tested roller bearings, with the speeds ranging from 70,000 to 110,000 rpm. The collected data were then recorded and processed for further analysis.  
When selecting roller bearings for vibration measurements, it is essential to consider several factors, such as the rotational speed of the bearings, the load on the bearings, and the vibration frequency. Textile bearings tend to exhibit a significant range of vibration values, which poses a challenge when choosing suitable samples for testing. To ensure precise and comparable measurements, a \"sorting\" measurement method was applied to 25 different bearings while gradually increasing the speed (Figure 8).  
The selection of suitable bearings for experiment was carefully considered, taking vibration alarms into account. For textile bearings, two alarms were set:  
1. Alarm 1--Warning, marked in yellow,
2. Alarm 2--Danger, marked in red.  
Figure 7: Software front panel developed in NI LabVIEW 2021–Settings and analysis screen.  
Differential measurement was conducted on 25 bearingss of the same type and dimensions. In order to select suitable bearings for nanoadditive tests, vibration characteristic measurements were performed for all available bearings. Based on these measured data, 16 bearings with lower vibration values were chosen and are shown in Table 1.  
\begin{table}
\begin{tabular}{c c c c} \hline
**ID** & **Bearing Number** & **Condition** & **Group** \\ \hline  
\hline \end{tabular}
\end{table}
Table 1: Classification breakdown of the tested bearings.  
Figure 8: Comparison of vibrations of all bearings during bearing sorting.  
Then, these selected bearingss were divided into two groups:  
* Group A: It included 8 bearingss that were intended for testing with the original lubricant.
* Group B: It included 8 bearings that were intended for testing with lubricant containing nanoadditives.  
This thorough process of selecting suitable bearings and categorizing them into these groups was a fundamental element of this paper's research methodology and contributed to the accuracy and validity of the tests and subsequent results.