This is an attempt of implementing the original paper titled as "Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab" (https://www.sciencedirect.com/science/article/abs/pii/S0951832013000549)

The original matlab code is available to the website of the author - Dawn An (https://sites.google.com/site/dawnan1114/research/particle-filter-prognostics) titled as Particle Filter Code.

In this paper, the authors implemented all the things by using matlab software.

To contribute to the open source python community, I have tried to implement the whole thing into python by using a simple basic style which everyone can understand.

The sample dataset is here matlab sample dataset (https://github.com/junayed/Particle-Filter-based-Prognostics-Algorithm/blob/master/TESTLED10.mat)

The python implementation is here RUL Prediction (https://github.com/junayed/Particle-Filter-based-Prognostics-Algorithm/blob/master/RULprediction.py)