Damage Detection for Conveyor Belt Surface Based on Conditional Cycle Generative Adversarial Network

Damage Detection for Conveyor Belt Surface Based on Conditional Cycle Generative Adversarial Network

The belt conveyor is an essential piece of equipment in coal mining for coal transportation, and its stable operation is key to efficient production. Belt surface of the conveyor is vulnerable to foreign bodies which can be extremely destructive. In the past decades, much research and numerous appro...

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Bibliographic Details
Main Authors: Gardoni, P. (Author), Glowacz, A. (Author), Guo, X. (Author), Królczyk, G. (Author), Li, Z. (Author), Liu, X. (Author), Sulowicz, M. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Belt conveyors
Coal-mining
conditional CycleGAN
Conditional cyclegan
Conveyor belts
damage detection
Damage detection
Data mining
Deep learning
Foreign bodies
Generative adversarial networks
Image enhancement
Image fusion
Images processing
incremental image fusion
Incremental image fusion
Learning algorithms
Natural language processing systems
Nondestructive examination
Stable operation
Surface image
Surface-based
transfer learning
Transfer learning
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