Semi-supervised pipeline anomaly detection algorithm based on memory items and metric learning.
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| Title: | Semi-supervised pipeline anomaly detection algorithm based on memory items and metric learning. |
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| Authors: | Yan, Bingchuan1 (AUTHOR), Zheng, Jianfeng1 (AUTHOR) zhengjf@pipechina.com.cn, Li, Rui2 (AUTHOR) kjlirui@petrochina.com.cn, Fu, Kuan2 (AUTHOR), Chen, Pengchao2 (AUTHOR), Jia, Guangming1 (AUTHOR), Shi, Yunhan3 (AUTHOR), Lv, Junshuang3 (AUTHOR), Gao, Bin3 (AUTHOR) |
| Source: | Nondestructive Testing & Evaluation. Oct2023, Vol. 38 Issue 5, p753-766. 14p. |
| Database: | Academic Search Ultimate |
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