AI x NV measurement
Smart Vibration Analysis
“I collected data, but unfortunately I don’t know where to start.”
These voices can now be heard at sites that use vibration data to improve product safety and comfort.
As instrument and bench performance has improved, data sampling rates have increased, and long-term data collection has become possible. As a result, more detailed analysis become possible. On the other hand, as the amount of data has increased, it has become difficult to see all the data with human eyes.
So we support your vibration data analysis with the following approach.
Frequency Analysis of time series signals continuously
Change point detection in the frequency domain
This solution classifies the measurement results by time range by converting the measured vibration data into a frequency distribution and then analyzing by adding elements of time series change.
By doing this, it is possible to extract only the necessary time range from the classified data and start the analysis.