Online tool wear condition monitoring using binocular vision-Reference-Cited by-同舟云学术

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Online tool wear condition monitoring using binocular vision

Published:2017-04-01 Issue:4 Volume:59 Page:203-210
ISSN:1354-2575
Container-title:Insight - Non-Destructive Testing and Condition Monitoring
language:en
Short-container-title:insight

Author:

Zhu Aibin,He Dayong,Zhao Jianwei,Wu Hongling

Publisher

British Institute of Non-Destructive Testing (BINDT)

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Portable motorized telescope system for wind turbine blades damage detection;Engineering Reports;2023-01-08

2. Data-driven dynamic predictive maintenance for a manufacturing system with quality deterioration and online sensors;Reliability Engineering & System Safety;2021-08

3. On-machine measurement of geometrical deviations on a five-axis CNC machining centre;Advances in Materials and Processing Technologies;2020-12-21

4. An error reduction method of a binocular measurement system under vibrating conditions;Measurement Science and Technology;2020-09-09

5. Wind turbine blade surface inspection based on deep learning and UAV-taken images;Journal of Renewable and Sustainable Energy;2019-09

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