Component failure Prediction using ZASTI

The NASA agency uses a modern gas turbine engine called the Turbofan engine.

NASA has run simulations on the C-MAPSS system and created data set to predict the failures of Turbofan engines over time. The ZASTI system is designed to predict failure using sequential sensor data by stacking, manipulating and tuning deep neural networks. The result has shown that ZASTI solution can predict with a higher accuracy in comparison to many other leading AI platforms.

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