We implemented a simple method for early detection in this research. The implemented methods are plotting the given mat files and analyzing scalogram images generated by performing Continuous Wavelet Transform (CWT) on the samples. Also, finding the mean, standard deviation (STD), and peak-to-peak (P2P) values from each signal also helped detect faulty signs. We have implemented the autoregressive integrated moving average (ARIMA) method to track the progression.
Cite
@article{arxiv.2307.03871,
title = {HUMS2023 Data Challenge Result Submission},
author = {Dhiraj Neupane and Lakpa Dorje Tamang and Ngoc Dung Huynh and Mohamed Reda Bouadjenek and Sunil Aryal},
journal= {arXiv preprint arXiv:2307.03871},
year = {2023}
}
Comments
This report is being submitted as part of the Data Challenge organized by HUmS2023