Generating synthetic data for data-driven solutions via a digital twin for condition monitoring in machine tools-Reference-Cited by-同舟云学术

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Generating synthetic data for data-driven solutions via a digital twin for condition monitoring in machine tools

Published:2024-06-07 Issue: Volume:46 Page:2
ISSN:
Container-title:Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II
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Author:

Sicard Brett S.,Butler Quade,Wu Yuandi,Abdolahi Sepehr M.,Ziada Youssef,Gadsden Stephen A.

Publisher

SPIE

Reference39 articles.

1. Physics-Based Method for Generating Fully Synthetic IV Curve Training Datasets for Machine Learning Classification of PV Failures

2. A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection;Wu;arXiv:2401.11860 [cs, eess],2024

3. Experimental Setups for Linear Feed Drive Predictive Maintenance: A Review;Sicard,2023

4. Inferential based measurement of backlash in servo system;Chandrasekar;Materials Today: Proceedings,2021

5. Prognostic experiment for ball screw preload loss of machine tool through the hilbert-huang transform and multiscale entropy method;Chang,2010

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