Data Science for Engineers: Making Use of Aerospace Telemetry Data

Aerospace companies collect endless amounts of time series data from sensors, systems, and simulations. Engineers can find practical insights in this data with machine learning and AI projects when they know where to look and what to do with that data. Predicting failure in engines, turbo fans, motors, and any moving parts or systems is impossible without the data's starting point.

In this webinar, we discussed the challenges around sifting through available data and transforming it for use in machine learning projects, as well as demonstrated how engineers can complete a motor failure prediction project with raw data in Altair RapidMiner, a full-capability data platform in a no-code environment.