Digital twin-assisted gearbox dynamic model updating toward fault diagnosis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11465-023-0748-0.pdf
Reference46 articles.
1. Chen X F, Wang S B, Qiao B J, Chen Q. Basic research on machinery fault diagnostics: past, present, and future trends. Frontiers of Mechanical Engineering, 2018, 13(2): 264–291
2. Singh V, Gangsar P, Porwal R, Atulkar A. Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review. Journal of Intelligent Manufacturing, 2023, 34(3): 931–960
3. Rajabi S, Saman Azari M, Santini S, Flammini F. Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier. Expert Systems with Applications, 2022, 206: 117754
4. Zhang L F, Zhang F B, Qin Z Y, Han Q K, Wang T Y, Chu F L. Piezoelectric energy harvester for rolling bearings with capability of self-powered condition monitoring. Energy, 2022, 238: 121770
5. Maschler B, Weyrich M. Deep transfer learning for industrial automation: a review and discussion of new techniques for data-driven machine learning. IEEE Industrial Electronics Magazine, 2021, 15(2): 65–75
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