An efficient deep learning prognostic model for remaining useful life estimation of high speed CNC milling machine cutters

CNC machines are engaged in numerous industries, including critical ones like the aerospace, automotive, and military sectors, among others. Sensor data are time-series that may suffer from complex interconnections between variables and dynamic features. Long Short Term Memory LSTM excels in dynamic...

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Bibliographic Details

Published in:	Results in Engineering
Main Authors:	Hamdy K. Elminir, Mohamed A. El-Brawany, Dina Adel Ibrahim, Hatem M. Elattar, E.A. Ramadan
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	CNC milling machine Deep Learning DL LSTM AutoEncoder and RUL
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590123024016724