### Human: I want a open-source AIOPS and projects.
### Assistant: Turbofan engine is a highly complex and precise thermal machinery, which is the “heart” of the aircraft. About 60% of the total faults of the aircraft are related to the turbofan engine. The prognosis of the remaining useful life (RUL) of turbofan engine provides an important basis for predictive maintenance and remanufacturing, and plays a major role in reducing failure rate and maintenance cost. RUL is the total number of flights remained for the engine after the last flight. In this project i have used Machine Learning approach to predict RUL. This project is able to train different models and choose the best one by evaluating accuracy scores of each model link:-https://github.com/Vinayakmane47/NASA-turbofan-ML-Project-AIOPS