Open AccessA Hybrid Prognostic Approach Based on Deep Learning for the Degradation Prediction of Machinery
Author(s) -
Ahmet Kara
Publication year - 2021
Publication title -
sakarya university journal of computer and information sciences
Language(s) - English
Resource type - Journals
ISSN - 2636-8129
DOI - 10.35377/saucis.04.02.912154
Subject(s) - prognostics , computer science , artificial intelligence , degradation (telecommunications) , deep learning , convolution (computer science) , raw data , turbofan , field (mathematics) , machine learning , data mining , artificial neural network , engineering , telecommunications , mathematics , automotive engineering , pure mathematics , programming language