Damage detection for conveyor belt surface based on conditional cycle generative adversarial network

HIGHLIGHTS

• who: Xiaoqiang Guo et al. from the School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China have published the research: Damage Detection for Conveyor Belt Surface Based on Conditional Cycle Generative Adversarial Network, in the Journal: Sensors 2022, 22, 3485. of /2022/
• what: In this paper a novel multi-classification conditional CycleGAN (MCC-CycleGAN) method is proposed to generate and discriminate surface images of damages of conveyor belt.
• how: The damage features are obtained from mid-infrared images and tear features are suggested in long-infrared image. For damaged belt . . .
  

   

  

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