It is needed to have maintained a good data base with the readings of the sensor according to the contact distance and the materials . Then by analyzing the data base the further predictions can be done .
The sensor was mount 350 mm away from the antenna center which mount to the motor and the full contactable distance of the antenna was 325 mm. All the measurements taken from the antenna's motor connected side end and each 5 mm distances the accelerometer readings were taken down for 25 contact impulses for all five materials .
First, all the collected data is analysed in the time domain and an attempt is carried out to find an unique feature to identify the distance. But any significant feature isn’t observed in the time domain.
When the data is analysed in the time domain, it is clearly identified the two different distances for two materials. The time taken to damp differs depending on its distance. But using the time domain analysis, damping can’t be identified if the distance which needs to identify is very close to each other.
Collected data set for the Aluminium and PVC were analyzed in time domain and observed results were discussed.
Figure 07: Time domain acclamation of the X and Z axis at the 85mm from the motor axis for Aluminium
Figure 08: Time domain acclamation of the X and Z axis at the 85mm from the motor axis for PVC
In figure 07, it shows how the vibrations are occurred at the 85mm distance for the Aluminium and the figure 08 shows how the vibrations are occurred at the 85mm distance for the PVC.
Figure 09: Time domain acclamation of the X and Z axis at the 170mm from the motor axis for Aluminium
Figure 10: Time domain acclamation of the X and Z axis at the 170mm from the motor axis for PVC
Figure 09 shows how the vibrations are occurred at the 170mm distance for the Aluminium and the figure 10 shows how the vibrations are occurred at the 170mm distance for the PVC.
When the data is analysed in the time domain, it is clearly identified the two different distances for these two materials. The time taken to damp is depending on its distance. But using the time domain analysis, damping can’t be identified if the distances are very close to each other.
Figure 11: Time domain acclamation of the X and Z axis at the 175mm from the motor axis for Aluminium
When it comes to the analysis of two data sets, taken at very close different distances, the identification of the unique difference at the time domain is fail. The damping time is very close to each other and it is clearly identified by using the Figure 09 and Figure 11.
It is failed to find the unique feature in the time domain , if the measurable distances are were close to each other.