Time series data like strain, acceleration, temperature, and CAN acquired from high quality sensors and measurement hardware can provide amazing insights into product usage. This raw data can then be converted into actionable insights using powerful analysis techniques. The results of this analysis, however, are only as valuable as the quality of the input time series data.
This webinar will show ways to edit time series data to improve its fitness for post-processing. Hands-on examples will show how nCode GlyphWorks software can maximize the value of measured time series data to drive product development decisions.
Originally presented on October 21, 2020