Research on Defect Identification Method of Engine Lining-Reference-Cited by-同舟云学术

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Research on Defect Identification Method of Engine Lining

Published:2023-06-15 Issue:12 Volume:23 Page:12651-12662
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhao Yifan¹,Wu Qiong¹,Yu Jianyi²,Gao Hanjun¹^ORCID

Affiliation:

1. School of Mechanical Engineering and Automation, Beihang University, Beijing, China

2. Beijing Mechanical and Electrical Engineering Overall Design Department, The Fourth Research Institute of China Aerospace Science and Industry Corporation, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10152544/10124129.pdf?arnumber=10124129

Reference31 articles.

1. Planar defect recognition based on convolutional neural network;Ying;Comput. Digit. Eng.,2021

2. Surface defect detection of injection parts based on convolutional neural network;Dao-sheng;J. Shanghai Inst. Elect. Eng.,2021

3. Human-Machine Interface Visual Communication Design Model of Electronic Equipment Using Machine Vision Technology

4. Application of Machine Vision Technology in Garlic Planter

5. Research on deep learning and its application on the casting defects automatic detection;Weixin,2016

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