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 free 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
Who should attend:
All users of inline liquid particle counter, especially those working in the following departments.
- Quality assurance
- Process engineering
- Production engineering
- Facility engineering
September 21st, 2022 Registration
To meet the needs of our global audience, we are offering this webinar at two different times. Below are the available options along with some corresponding time examples; choose the best time for you.
Note: All registrants will receive a recording.
Option 1: Ideal for APAC/EMEA • Examples of times are: 2:00 PM Berlin/Paris; 8:00 PM Shanghai
Option 2: Ideal for AMER/EMEA • Examples of times are 9 a.m. PT, 12:00 PM ET/ 6:00 p.m. Rome/Berlin/Paris