Good data gone bad Good data gone bad | HBM

Webinar: Good Data Gone Bad


Why it is important to recognize bad engineering data before using it for durability and performance analysis

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.

The speaker

Virrinder Kumar

Application Engineer
HBM nCode


Good Data Gone Bad (pdf)

联系我们 如果您希望与HBM联系,无论是技术问题还是希望进行商务合作或者是产品咨询,我们都将为您服务