Application of Machine Learning Techniques for Bearing Fault Diagnosis
Machine learning enhances machine diagnostics through advanced data analysis, pattern recognition, and fault prediction. This study investigates the application of machine learning algorithms for bearing fault detection. The objective is to develop intelligent methodologies for the predictive diagno...
Saved in:
| Main Authors: | Sarra Eddai, Nabih Feki, Ahmed Ghorbel, Abdelkhalak El Hami, Mohamed Haddar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Shahid Chamran University of Ahvaz
2025-10-01
|
| Series: | Journal of Applied and Computational Mechanics |
| Subjects: | |
| Online Access: | https://jacm.scu.ac.ir/article_19459_d1b9641a9bbcf36bbc8274c079a72525.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on axle-box bearing fault feature extraction algorithm based on simulation test and BOA-VMD
by: ZHANG Dongxing, et al.
Published: (2022-03-01) -
Overview of Traction Motor Bearing Fault Diagnosis Technology
by: ZHU Wenlong, et al.
Published: (2021-01-01) -
Adaptive blind deconvolution decomposition and its application in composite fault diagnosis of rolling bearings
by: Wei Dong, et al.
Published: (2025-04-01) -
Wear fault diagnosis in journal bearings using vibration analysis and AI
by: Jebur Nazik A., et al.
Published: (2025-01-01) -
Fault Diagnosis of Train Bogie Bearing Based on Multi-scale Sample Entropy Improved Extreme Learning Machine
by: JIN Zhenzhen, et al.
Published: (2021-01-01)