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Remote Asset Management Indicator (RAMI)

This is a companion repository to the paper Sensing system for low cost condition monitoring of remote assets by Aiden J Ziegelaar, Ben C Travaglione & Melinda R Hodkiewicz, published in 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies.

This repository contains all the information necessary to replicate the results presented in the paper.

The majority of the notes are contained within the Jupyter notebook RAMI.ipynb.