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Apr 19, 2021 · Title:A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings.
Apr 1, 2022 · The rolling bearing is a key vulnerable part of rotating machinery, which is prone to failure under a harsh working environment and alternating ...
On this basis, a new end-to-end fault diagnosis framework based on time-frequency Transformer is presented in this paper. Through the case studies on bearing ...
Apr 1, 2022 · Based on TFT, this paper presented an end-to-end fault diagnosis framework for rolling bearings.
On this basis, a new end-to-end fault diagnosis framework based on time–frequency Transformer is presented in this paper. Through the case studies on bearing ...
On this basis, a new end-to-end fault diagnosis framework based on time–frequency Transformer is presented in this paper. Through the case studies on bearing ...
Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks · Understanding and ...
Apr 19, 2021 · On this basis, a new end-to-end fault diagnosis framework based on time-frequency Transformer is presented in this paper. Through the case ...
Firstly, the time-frequency representation is achieved by means of short-time Fourier transform for the original signal. Secondly, the low-level local features ...
Apr 1, 2022 · A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings. DOI. doi.org ...