An adaptive defect detection method for underground cables pipelines based on deep learning
Author:
Affiliation:
1. State Grid Yancheng Power Supply Company,Yancheng,Jiangsu,China,224000
Funder
Science and Technology Project of State Grid
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10624604/10624605/10624697.pdf?arnumber=10624697
Reference11 articles.
1. A novel position determination method for the modular snake-like natural gas pipeline inspection robot in a GPS denied environment
2. Current status, existent problems, and coping strategy of urban drainage pipeline network in China
3. Image recognition model of pipeline magnetic flux leakage detection based on deep learning
4. A complete online-SVM pipeline for case-based reasoning system: a study on pipe defect detection system
5. Remote drain inspection framework using the convolutional neural network and re-configurable robot Raptor
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