An adaptive feature mode decomposition-guided phase space feature extraction method for rolling bearing fault diagnosis
J Xin, H Jiang, W Jiang, L Li - Measurement …, 2024 - pubishingsupport.iopscience.iop.org
The extraction of fault features from rolling bearings is a challenging and highly important
task. Since they have complex operating conditions and are usually under a strong noise …
task. Since they have complex operating conditions and are usually under a strong noise …
Machine Learning Approach for Predicting the Solid Particle Lubricant Contamination in a Spherical Roller Bearing
K Rameshkumar, K Natarajan, P Krishnakumar… - IEEE …, 2024 - ieeexplore.ieee.org
The statistical relationship between sensor signature features and lubricant solid particle
contamination conditions in a spherical roller bearing has been investigated in this study …
contamination conditions in a spherical roller bearing has been investigated in this study …
Vibration-based fault detection and classification in ball bearings using statistical analysis and random forest
AAF Ogaili, ZT Al-Sharify, A Abdulhady… - … Conference on Green …, 2024 - spiedigitallibrary.org
In this paper, a study on the fault diagnosis of ball bearings was done with a vibration
dataset. The bearing conditions are classified through the extraction of different statistical …
dataset. The bearing conditions are classified through the extraction of different statistical …