Autor:	Neupane, Dhiraj, Tamang, Lakpa Dorje, Huynh, Ngoc Dung, Bouadjenek, Mohamed Reda, Aryal, Sunil
Rok vydání:	2023
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: This report is being submitted as part of the Data Challenge organized by HUmS2023
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2307.03871 Zobrazit plný text záznamu View this record from Arxiv