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 presentation discusses 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.
Presented by Jeffrey J Chowaniec Jr. I Data Scientist for Aerospace I Altair, at the ATCx AI for Engineers in July 2023: 42:05 mins
The presentation is in English by default. The following languages are available by clicking on Audio Description ('AD') on the video screen: CN, KR, JP, ES, and PT.