Denoising diffusion implicit model for bearing fault diagnosis under different working loads

Denoising diffusion implicit model for bearing fault diagnosis under different working loads

Rotating machineries always operating under different loads and suffer from various types of bearing fault. Thus, bearing fault diagnosis is essential to prevent further loss or damage. Deep learning has been favoured over machine learning recently due to data explosion and its higher performance. I...

Full description

Bibliographic Details
Main Authors: Wong, Toong Yang, Lim, Meng Hee, Ngui, Wai Keng, Leong, Mohd Salman
Format: Conference or Workshop Item
Language:English
Published: EDP Sciences 2024
Subjects:
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Online Access:http://umpir.ump.edu.my/id/eprint/41735/
http://umpir.ump.edu.my/id/eprint/41735/1/Denoising%20diffusion%20implicit%20model%20for%20bearing%20fault%20diagnosis%20under%20different%20working%20loads.pdf

Similar Items

Similar Items