Monitoring of Corroded and Loosened Bolts in Steel Structures via Deep Learning and Hough Transforms

Monitoring of Corroded and Loosened Bolts in Steel Structures via Deep Learning and Hough Transforms

In this study, a regional convolutional neural network (RCNN)-based deep learning and Hough line transform (HLT) algorithm are applied to monitor corroded and loosened bolts in steel structures. The monitoring goals are to detect rusted bolts distinguished from non-corroded ones and also to estimate...

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Bibliografische gegevens
Hoofdauteurs: Quoc-Bao Ta, Jeong-Tae Kim
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2020-12-01
Reeks:Sensors
Onderwerpen:
deep learning
image-based monitoring
regional convolutional neural network
Hough line transform
bolt corrosion
bolt-loosening
Online toegang:https://www.mdpi.com/1424-8220/20/23/6888

Internet

https://www.mdpi.com/1424-8220/20/23/6888

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