Predicting Remaining Useful Life on DC Motor

An algorithm to compute the Remaining Useful Life (RUL) for a Separately Excited DC Motor using Similarity-Based Algo.

This presents a effective Predictive Maintenance system based on the sensor data

collected through Simulation and determining its Remaining Useful Life (RUL) for a Separately

Excited DC Motor before the failure of machine which in turn can tell when to do maintenance

effectively. When estimating the RUL of Motor, Similarity Model is used to determine it as it

works efficiently and give more accurate result when Run-to-Failure Data is available.