Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 16, issue 2
Articles | Volume 16, issue 2
https://doi.org/10.5194/ms-16-685-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-16-685-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2
Research article
 | 
04 Nov 2025
Research article |  | 04 Nov 2025

Data dynamic networks coupled with mechanical vibration energy for bearing defect identification

Lingwei Hou, Tianfeng Wang, Mukai Wang, Duhui Lu, Sicheng Li, and Faju Qiu

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Short summary
In this paper, we propose a data dynamic network for data enhancement for bearing defect identifications. Nodes and edges of data are constructed for the establishment of a data dynamic network. Together with the feature fusion techniques, the energy, recurrence rates, and amplitude–frequency spectra are reconstructed in the time-delayed phase space for preparation of bearing defect identification. The accuracy for bearing defect identification reaches up to 98.5 %.
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