A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
Volume 12
Issue 11
IEEE/CAA Journal of Automatica Sinica
| Citation: | S. Yu, X. Li, Y. Lei, B. Yang, and N. Li, “Dynamic vision-enabled intelligent micro-vibration estimation method with spatiotemporal pattern consistency,” IEEE/CAA J. Autom. Sinica, vol. 12, no. 11, pp. 2359–2361, Nov. 2025. doi: 10.1109/JAS.2024.125007
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| [1] |
M. Tiboni, C. Remino, R. Bussola, and C. Amici, “A review on vibration-based condition monitoring of rotating machinery,” Applied Sciences-Basel, vol. 12, no. 3, p. 972, Feb. 2022. doi: 10.3390/app12030972
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| [2] |
X. Chen, X. Li, S. Yu, Y. Lei, N. Li, and B. Yang, “Dynamic vision enabled contactless cross-domain machine fault diagnosis with neuromorphic computing,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 3, pp. 788–790, Mar. 2024. doi: 10.1109/JAS.2023.124107
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| [3] |
X. Li, S. Yu, Y. Lei, N. Li, and B. Yang, “Dynamic vision-based machinery fault diagnosis with cross-modality feature alignment,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 10, pp. 2068–2081, Oct. 2024. doi: 10.1109/JAS.2024.124470
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| [4] |
Y. Wang, S. Velipasalar, and M. Casares, “Cooperative object tracking and composite event detection with wireless embedded smart cameras,” IEEE Trans. Image Processing, vol. 19, no. 10, pp. 2614–2633, Oct. 2010. doi: 10.1109/TIP.2010.2052278
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| [5] |
R. Guang, X. Li, Y. Lei, N. Li, and B. Yang, “Non-contact machine vibration sensing and fault diagnosis method based on event camera,” in Proc. CAA Symp. Fault Detection, Supervision and Safety for Technical Processes, Nov. 2023, pp. 1−5.
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| [6] |
C. Shi, N. Song, B. Wei, Y. Li, Y. Zhang, W. Li, and J. Jin, “Event-based vibration frequency measurement with laser-assisted illumination based on mixture gaussian distribution,” IEEE Trans. Instrumentation and Measurement, vol. 72, no. 1, p. 5022813, Aug. 2023.
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