1-1 of 1
Keywords: KNN
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Identification and Fault Diagnosis of Rolling Element Bearings Using Dimension Theory and Machine Learning Techniques

Prashant S. Jadhav, Vishal G. Salunkhe, R. G. Desavale, S. M. Khot, P. V. Shinde, P. M. Jadhav, Pramila R. Gadyanavar
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. September 2024, 146(9): 094301.
Paper No: TRIB-23-1388
https://doi.org/10.1115/1.4065335
Published Online: May 15, 2024
... but precise fault diagnosis for industrial machines. The utilization of mathematical modeling with machine learning may be combined for fine fault diagnosis under different working conditions. The current study presents a blend of dimensional analysis (DA) and a K-nearest neighbor (KNN) to diagnose faults...
View Articletitled, Identification and Fault Diagnosis of Rolling Element Bearings Using Dimension Theory and Machine Learning Techniques
Open the PDF for Identification and Fault Diagnosis of Rolling Element Bearings Using Dimension Theory and Machine Learning Techniques in another window
Topics: Bearings, Fault diagnosis, Modeling, Vibration, Rotors, Machine learning, Rolling bearings