August 2020
Process Control, Instrumentation and Automation
Avoid common data preparation mistakes to improve analytics results
Time series data preparation in process manufacturing applications presents complex challenges, such as differences in data sampling rates, inconsistent or custom units, and the need to access data in multiple systems, among other issues.
The Author
Joseph Reckamp is an Analytics Engineer at Seeq Corporation specializing in the pharmaceutical industry. He enjoys working with engineers across manufacturing industries to improve processes and realize value using process data analytics. He received his BS and MS degrees in chemical engineering from Villanova University and has worked in the pharmaceutical industry throughout his career, including stints in research and development with GlaxoSmithKline and production with Evonik.
Comments