A novel optimized fault prediction in magnetic bearing using shaft vibration image database-Reference-Cited by-同舟云学术

A novel optimized fault prediction in magnetic bearing using shaft vibration image database

Published:2023-03-16 Issue:5 Volume:11 Page:2058-2068
ISSN:2195-268X
Container-title:International Journal of Dynamics and Control
language:en
Short-container-title:Int. J. Dynam. Control

Author:

Gajjal Priya^ORCID,Dahake M. R.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Control and Optimization,Mechanical Engineering,Modeling and Simulation,Civil and Structural Engineering,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s40435-023-01157-x.pdf

Reference44 articles.

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3. Nguyen QD, Nguyen HP, Trung NK et al (2022) Fixed-time disturbance observer based on fractional-order state observer and super-twisting sliding mode control for a class of second-order of slotless self-bearing motor. Int J Dyn Control. https://doi.org/10.1007/s40435-022-01022-3

4. Acharya DS, Mishra SK (2020) A multi-agent based symbiotic organisms search algorithm for tuning fractional order PID controller. Measurement 155:107559. https://doi.org/10.1016/j.measurement.2020.107559

5. Gupta M, Wadhvani R, Rasool A (2023) A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network. Knowl Based Syst 259:110070. https://doi.org/10.1016/j.knosys.2022.110070