Data Science for Engineers: Making Use of Aerospace Telemetry Data

Jocelyn

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 if there is no starting point in the data.

This webinar will discuss the challenges around sifting through available data and transforming it for use in machine learning projects, as well as demonstrate 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. The main focus will be utilizing RapidMiner for fast Fourier transforms and other time series windowing techniques to predict failures.

Register Here

Can't attend live? You should still register! We'll share the recording after the webinar to watch on-demand.