Performance degradation assessment method for linear motor feed systems driven by digital twins

Performance degradation assessment method for linear motor feed systems driven by digital twins

Abstract To address the challenges of missing degradation samples and the low accuracy of traditional degradation assessment methods in linear motor feeding systems, and considering the advantages of Digital Twin technology in complex equipment status evaluation and performance prediction, this stud...

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Bibliographic Details
Main Authors: Zeqing Yang, Yiding Yao, Wei Cui, Yingshu Chen, Beibei Liu, Yi Jin, Yanrui Zhang, Hongwei Zhao, Guofeng Zhang, Wei Yi, Zonghua Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Digital twin
Linear motor feeding system
Lack of degradation samples
Deep neural network
Performance degradation assessment
Online Access:https://doi.org/10.1038/s41598-025-02347-7
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https://doi.org/10.1038/s41598-025-02347-7

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