Bearing Fault Diagnosis Based on an Enhanced Image Representation Method of Vibration Signal and Conditional Super Token Transformer

Bearing Fault Diagnosis Based on an Enhanced Image Representation Method of Vibration Signal and Conditional Super Token Transformer

Multipoint Optimal Minimum Entropy Deconvolution Adjusted (MOMEDA) is an advanced deconvolution method, which can effectively inhibit the interference of background noise and distinguish the fault period by calculating the multipoint kurtosis values. However, multipoint kurtosis (MKurt) could lead t...

Full description

Bibliographic Details
Main Authors: Jiaying Li, Han Liu, Jiaxun Liang, Jiahao Dong, Bin Pang, Ziyang Hao, Xin Zhao
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Entropy
Subjects:
multipoint envelope L-kurtosis
Vision Transformer
fault visualization
rolling bearing
fault diagnosis
Online Access:https://www.mdpi.com/1099-4300/24/8/1055

Internet

https://www.mdpi.com/1099-4300/24/8/1055

Similar Items