WPC-SS: multi-label wear particle classification based on semantic segmentation-Reference-Cited by-同舟云学术

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WPC-SS: multi-label wear particle classification based on semantic segmentation

Published:2022-04-02 Issue:3 Volume:33 Page:
ISSN:0932-8092
Container-title:Machine Vision and Applications
language:en
Short-container-title:Machine Vision and Applications

Author:

Fan Suli,Zhang Taohong,Guo Xuxu,Zhang Ying,Wulamu Aziguli

Funder

Fundamental Research Funds for the Central Universities

The National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://link.springer.com/content/pdf/10.1007/s00138-022-01287-w.pdf

Reference36 articles.

1. Kumar, M., Mukherjee, P.S., Misra, N.M.: Advancement and current status of wear debris analysis for machine condition monitoring: a review. Ind. Lubr. Tribol. 65(1), 3–11 (2013)

2. Cao, W., Dong, G., Xie, Y.B., et al.: Prediction of wear trend of engines via on-line wear debris monitoring. Tribol. Int. 120(01), 510–519 (2018)

3. Wang, S., Wu, T., Yang, L., et al.: Three-dimensional reconstruction of wear particle surface based on photometric stereo. Measurement 133(10), 350–360 (2019)

4. Zheng, L., Huan, H., Zeng, Y., Song, S., Cheng, S., Zhang, C.: A study on the failure mechanism and wear loss of impregnated diamond bits during machining process of armor ceramics. J. Mech. Sci. Technol. 32(1), 261–268 (2018)

5. Stachowiak, G.P., Stachowiak, G.W., Podsiadlo, P.: Automated classification of wear particles based on their surface texture and shape features. Tribol. Int. 41(1), 34–43 (2008)

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1. TCBGY-Net : Ferrography wear particle detection network based on self-attention mechanism and multi-scale feature fusion;2024-06-28

2. An oil wear particle identification method based on Wasserstein generative adversarial network and improved CNN using a custom-built optical imaging sensor;Measurement;2024-06

3. Research on an Intelligent Classification Algorithm of Ferrography Wear Particles Based on Integrated ResNet50 and SepViT;Lubricants;2023-12-13

4. Intelligent classification of online wear particle in lubricating oil using optical direct imaging method and convolutional neural network for rotating machinery;Tribology International;2023-11

5. Dual Inductive–Capacitive Detection Cell: A Promising Tool for Distinguishing Mixed Metal Particles;IEEE Sensors Journal;2023-09-15

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