Enhanced Deep Learning Approaches for Diagnosing Drilling Machine Failures Using Gramian Angular Field and Markov Transition Field Encoding

In the era of Industry 4.0, applying deep learning models for analyzing sensor data in machinery is a fundamental step toward developing predictive maintenance strategies. Deep learning models can automatically learn complex patterns and features from sensor data, making them highly effective in ide...

詳細記述

書誌詳細
出版年:Journal of Applied Science and Engineering
主要な著者: Aroui Tarek, Dorbez Fradj
フォーマット: 論文
言語:英語
出版事項: Tamkang University Press 2025-02-01
主題:
オンライン・アクセス:http://jase.tku.edu.tw/articles/jase-202509-28-09-0004