An unsupervised embedding method based on streaming videos for process monitoring in repetitive production systems
Author:
Affiliation:
1. Department of Industrial Engineering, Tsinghua University, Beijing, China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/24725854.2024.2386415
Reference37 articles.
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3. Andrianakos G. N. Dimitropoulos G. Michalos and S. Makris (2019). An approach for monitoring the execution of human based assembly operations using machine learning - sciencedirect. Procedia CIRP 86 198–203.
4. Bastani K. Z. J. Kong W. Huang and Y. Zhou (2016). Compressive sensing–based optimal sensor placement and fault diagnosis for multi-station assembly processes. IIE Transactions 48 (5) 462–474.
5. Chen C. C. Li D. Li Z. Zhao and J. Hong (2021). Mechanical assembly monitoring method based on depth image multiview change detection. IEEE Transactions on Instrumentation and Measurement 70 1–13.
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