Predictive Maintenance of Electric Batteries using Machine learning algorithm Random Forest. We used the dataset given by the Nasa's website. Click Here for dataset. The dataset is of the Turbofan Engine Degradation Simulation dataset which contains data 21 sensors of each cycle of 250 engines and 3 operation settings.
We were able to successfully devise an algorithm to predict the RUL (Remaining useful life) for the engines. We have used the ML algorithm - Random Forest. After training our model, we tested the model and found out the accuracy and loss.