RUL prediction Study for Maintenance of Machinery Performance

Machinery like Biomedical Recording Instruments often are subject to wear-and-tear and hence this study on Remaining Useful Life (RUL) with NASA dataset on machines under the influence of even external factors influenced while in space can be an eye-opener to enhance the diagnosis accuracy by assisting maintenance using AI to ensure high precision of the biomedical instruments, especially in applications like telemedicine.

RUL-Prediction-from-NASA-s-Dataset-for-Aircraft-engines-using-Intel-oneAPI

Predictive maintenance of Turbofan Engine can be achieved by the Streamlit application for the prediction of RUL utilizing the interoperability support to leverage the performance enhancements offered by Intel oneAPI.

Remaining Useful Life (RUL) Prediction from NASA's Turbofan Engine Degradation Simulation for Aircraft engines using Intel oneAPI