Masked Auto-Encoders Remote Assessment of Machine Tool Components: A Pixel Loss Adaptive Retrieval Methodology for Reliable Fault Diagnosis-Reference-Cited by-同舟云学术

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Masked Auto-Encoders Remote Assessment of Machine Tool Components: A Pixel Loss Adaptive Retrieval Methodology for Reliable Fault Diagnosis

Published:2023 Issue: Volume: Page:
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Author:

Chen Peng,Ma Zhigang,Li Zheng,Xu Chaojun,Fan Shuai

Publisher

Elsevier BV

Reference32 articles.

1. A survey of network automation for industrial internet-of-things towards industry 5;H R Chi;IEEE Transactions on Industrial Informatics,2022

2. Developing a ball screw drive system of high-speed machine tool considering dynamics;D Wang;IEEE Transactions on Industrial Electronics,2021

3. Ball screw health monitoring with inertial sensors;V Pandhare;IEEE Transactions on Industrial Informatics,2022

4. Dynamic modeling, analysis, and experimental study of ball screw pairs with nut spalling faults in electromechanical actuators;Z Yin;Mechanical Systems and Signal Processing,2023

5. Dynamic characteristics and reliability analysis of ball screw feed system on a lathe;M Xu;Mechanism and Machine Theory,2020

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