Data Analysis Techniques for Understanding Particle Contamination in High Purity Liquids.
Continuous particle monitoring in liquid systems provides valuable, real-time data that allows us to detect and eliminate sources of particle contamination. Understanding the data generated by the particle counter plays a key role in this process. This webinar will cover a range of useful data analysis techniques that may be applied to data from liquid particle counters, starting with basic techniques such as time-plot and particle size distribution analysis, before introducing more advanced data analysis techniques such a Poisson statistical analysis, and the application of Fast Fourier Transform analysis to identify cyclical contamination events.
In this on-demand webinar you’ll learn:
- How to identify long-term particle contamination trends and sudden contamination events using time-plots
- How to plot particle size distributions and apply them to distinguish between regular and irregular particle measurements
- How advanced data analysis using Poisson statistics and Fast Fourier Transform analysis can be used to identify systematic and cyclical contamination events
