Twins transformer: rolling bearing fault diagnosis based on cross-attention fusion of time and frequency domain features

• Published in: Measurement science & technology Vol. 35; no. 9; p. 96113
• Main Authors: Gao, Zhikang, Wang, Yanxue, Li, Xinming, Yao, Jiachi
• Format: Journal Article
• Language: English
• Published: 01.09.2024

Current self-attention based Transformer models in the field of fault diagnosis are limited to identifying correlation information within a single sequence and are unable to capture both time and frequency domain fault characteristics of the original signal. To address these limitations, this resear...