Select Language / Country  Country Flag


Deutsch

Español

Français


Nederlands

Português

Svenska

中文

繁體中文

日本語

한국어

Good Data Gone Bad

Why it is important to recognize bad engineering data before using it for durability and performance analysis. Hosted by Tech Briefs Media Group

Collecting good time series data is not a trivial task. This presentation will shed some light on causes and examples of bad data, and what separates good data from bad data. We will explain ways to recognize bad data, and suggest best testing and analysis practices to ensure the best possible engineering decisions are being made.

Originally presented: June 26, 2014

View the recorded presentation at HBM.com

Other resources

Back to webinar list