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Case Study

AI based Aircraft Engine Predictive Maintenance

The software uses state-of-the-art Artificial Intelligence and Machine Learning technologies in order to effectively predict before the aircraft engine fails!

Key Features

The software uses highly efficient Deep Neural Networks and makes use of huge amount of aircraft engine sensor data to forecast the point of failure of the engine!

The software uses state-of-the-art Explainable AI technologies such as Shap in order to justify the forecasts made by AI models!

The software is provided as a service using cloud technologies, thus the engineers can easily access the dashboard given having access to Internet.

The tool is designed in such a way that the AI models will autonomously train themselves as more and more engine sensor data becomes available from the aircraft.