Abstract: This study presents a novel approach for diagnosing machine conditions using deep learning models applied to Gabor-transformed motor current signatures. The dataset comprised signals from ...
Abstract: In the real world, collecting time series data often encounters difficulties and uncertainties, leading to prevalent data missing issues. The time series imputation task aims to restore data ...