This paper aims to perform predictive maintenance on a Turbofan using the NASA Turbofan data-set to predict the chances of failure by calculating the Remaining Useful Life ( RUL ) of the device. It aims to build a model that can read the data from the repository and build a model that can accurately classify whether an engine has chances of failure or not .This survey paper will show the algorithm and results of this project.
Volume 12 | Issue 2
Pages: 2260-2262
DOI: 10.5373/JARDCS/V12I2/S20201271