Longitudinal tear detection of conveyor belt under uneven light based on Haar-AdaBoost and Cascade algorithm-Reference-Cited by-同舟云学术

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Longitudinal tear detection of conveyor belt under uneven light based on Haar-AdaBoost and Cascade algorithm

Published:2021-01 Issue: Volume:168 Page:108341
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Wang Gongxian,Zhang Libin,Sun Hui,Zhu Chao

Funder

Open Research Fund of Defense Key Disciplines Laboratory of Ship Equipment Noise and Vibration Control Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference24 articles.

1. Research on the energy-saving control strategy of a belt conveyor with variable belt speed based on the material flow rate;Ji;PloS One,2020

2. Copper ore quality tracking in a belt conveyor system using simulation tools;Bardzinski;Nat. Resour. Res.,2020

3. The conveyor belt longitudinal tear on-line detection based on improved SSR algorithm;Li;Optik,2016

4. Integrative binocular vision detection method based on infrared and visible light fusion for conveyor belts longitudinal tear;Qiao;Measurement,2017

5. Dual band infrared detection method based on mid-infrared and long infrared vision for conveyor belts longitudinal tear;Yu;Measurement,2018

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1. Deep encoder-decoder networks for belt longitudinal tear detection;Measurement and Control;2024-09-14

2. EANet: Enhanced Attention-based Model for Surface Defect Detection;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

3. AC-SNGAN: Multi-class data augmentation for damage detection of conveyor belt surface using improved ACGAN;Measurement;2024-01

4. Knowledge Distillation for Enhancing a Lightweight Magnet Tile Target Detection Model: Leveraging Spatial Attention and Multi-Scale Output Features;Electronics;2023-11-10

5. A visual detection method for conveyor belt misalignment based on the improved YOLACT network;Particulate Science and Technology;2023-10-19

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