In this paper, a novel framework for bearing fault diagnosis is proposed, called DTM-bearing, built upon the diffusion transformation model (DTM). This approach can transfer signals across different vibration speeds into a standardized signal aligned with a speed template.
Jan 9, 2024
The primary purpose of DTM-Bearing is to eliminate speed variations and extract speed-invariant features. Consequently, bolster the robustness of bearing fault ...
DTM-Bearing: A Novel Framework for Speed-Invariant Bearing Fault Diagnosis Based on Diffusion Transformation Model (DTM) · Liao, Rijun · Wang, Chunguang · Peng, ...
Jan 19, 2024 · In this paper, a novel framework for bearing fault diagnosis is proposed, called DTM-bearing, built upon the diffusion transformation model (DTM) ...
Oct 7, 2024 · DTM-Bearing: A Novel Framework for Speed-Invariant Bearing Fault Diagnosis Based on Diffusion Transformation Model (DTM). IEEE Access 12 ...
2024. DTM-Bearing: A Novel Framework for Speed-Invariant Bearing Fault Diagnosis Based on Diffusion Transformation Model (DTM). R Liao, C Wang, F Peng, W ...
DTM-Bearing : A Novel Framework for Speed-Invariant Bearing Fault Diagnosis Based on Diffusion Transformation Model (DTM). Article. Full-text available. Jan ...
Oct 11, 2024 · A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network
Missing: DTM- (DTM).
Oct 1, 2023 · A novel fault diagnosis framework based on the graph neural network (GNN) and dynamic graph embedding mechanism (DGE) was proposed in this paper.
Missing: DTM- Diffusion (DTM).
To achieve the stable and effective diagnostic framework for unseen working conditions based on feature embedding, we first propose a Physics-Driven Diffusion ...
Missing: DTM- (DTM).