Design of a Modular Pipe Inspection Robot with Internal Damage Detection Using a Convolutional Neural Network-Reference-Cited by-同舟云学术

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Design of a Modular Pipe Inspection Robot with Internal Damage Detection Using a Convolutional Neural Network

Published:2023-09-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Central America and Panama Student Conference (CONESCAPAN)
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Author:

Serrano-López Erick Omar¹,Palomeque-Castellanos Roberto A.¹,Moreno Hector A.²,Ordóñez-Avila José Luis¹

Affiliation:

1. Universidad Tecnológica Centroamericana (UNITEC),San Pedro Sula,Honduras

2. F.I.M.E., U.N. Universidad Autónoma de Coahuila,Monclova Coah,México

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10328359/10328360/10328423.pdf?arnumber=10328423

Reference13 articles.

1. Multi-link Articulated Wheeled In-pipe Robot with Underactuated Twisting Joints

2. Smart-Spider: Autonomous Self-driven In-line Robot for Versatile Pipeline Inspection ⁎ ⁎The authors would like to the support from Danish Hydrocarbon Research and Technology Centre(DHRTC) through DHRTC Radical Project Programme

3. Design and motion analysis of multi-motion mode pipeline robot

4. A Novel Pipeline Inspection Robot with Two Angle-Changeable Crawler Drive Modules

5. Development of an Adaptive Pipe Inspection Robot with Rust Detection

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