A customised ConvNeXt-SCC network: integrating improved principal component analysis with ConvNeXt to enhance tire crown defect detection

Zhou, You; Zhang, Jinhua; Ni, Peng; Cao, Qianqian; Hu, Jun

doi:10.1080/10589759.2024.2406448

Nondestructive Testing and Evaluation

2024

DOI: 10.1080/10589759.2024.2406448

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A customised ConvNeXt-SCC network: integrating improved principal component analysis with ConvNeXt to enhance tire crown defect detection

You Zhou,

Jinhua Zhang,

Peng Ni

et al.

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2024

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Cited by 3 publications

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HE-Yolov8n: an innovative and efficient method for detecting defects in Lithium battery shells based on Yolov8n

Yang,

Jiang,

Zheng

et al. 2024

Nondestructive Testing and Evaluation

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HE-Yolov8n: an innovative and efficient method for detecting defects in Lithium battery shells based on Yolov8n

Yang,

Jiang,

Zheng

et al. 2024

Nondestructive Testing and Evaluation

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Optimization of Proportions of Alkali-Activated Slag–Fly Ash-Based Cemented Tailings Backfill and Its Strength Characteristics and Microstructure under Combined Action of Dry–Wet and Freeze–Thaw Cycles

Hu,

Meng,

Gao

et al. 2024

Materials

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To enhance the application of alkali-activated materials in mine filling, cemented tailings backfill was prepared using slag, fly ash, sodium silicate, and NaOH as primary constituents. The effects of the raw material type and dosage on the backfill were examined through a single-factor experiment. Additionally, response surface methodology (RSM) was utilized to optimize the mixing ratios of the backfill, with a focus on fluidity and compressive strength as key objectives. The evolution of backfill quality and compressive strength under the combined effects of dry–wet and freeze–thaw (DW-FT) cycles was analyzed. The hydration products, microstructure, and pore characteristics of the specimens were analyzed using X-ray diffraction (XRD), scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS), and nitrogen adsorption tests (NATs) across varying cycles. The results demonstrate that the optimal backfill composition includes 47.8% fly ash, 6.10% alkali equivalent, and a 1.44 sodium silicate modulus. The macroscopic behavior of the backfill under DW-FT coupling followed this progression: pore initiation → pore expansion → crack formation → crack propagation → structural damage. After a minor initial increase, the backfill strength steadily decreased. Microscopic analysis revealed that the decline in internal cementation products and the deterioration of pore structure were the primary causes of this strength reduction. Thus, the DW-FT coupling can cause significant erosion of the backfill. The technical solutions presented in this paper offer a reference for solid waste utilization and provide valuable insights into the durability of backfill under DW-FT coupling.

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Risk Assessment of Water Inrush from Coal Seam Floor with a PCA–RST Algorithm in Chenmanzhuang Coal Mine, China

Gao,

Cao,

Dong

2024

Water

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During coal mining, sudden inrushes of water from the floor pose significant risks, seriously affecting mine safety. This study utilizes the 3602 working face of the Chenmanzhuang coal mine as a case study, and the original influencing factors were downscaled using principal component analysis (PCA) to obtain four key evaluation factors: water inflow, aquiclude thickness, water pressure, and exposed limestone thickness. The rough set theory (RST) was applied to determine the weights of the four main influencing factors as 0.2, 0.24, 0.36, and 0.2; furthermore, 19 groups of comprehensive values were calculated using the weighting method, and a water inrush risk assessment was conducted for several blocks within the working face. The results are presented as a contour map, highlighting various risk levels and identifying the water inrush danger zone on the coal seam floor. The study concludes that water inrush poses a threat in the western part of the working face, while the eastern area remains relatively safe. The accuracy and reliability of the model are demonstrated, providing a solid basis and guidance for predicting water inrush.

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A customised ConvNeXt-SCC network: integrating improved principal component analysis with ConvNeXt to enhance tire crown defect detection

Cited by 3 publications

References 51 publications

HE-Yolov8n: an innovative and efficient method for detecting defects in Lithium battery shells based on Yolov8n

HE-Yolov8n: an innovative and efficient method for detecting defects in Lithium battery shells based on Yolov8n

Optimization of Proportions of Alkali-Activated Slag–Fly Ash-Based Cemented Tailings Backfill and Its Strength Characteristics and Microstructure under Combined Action of Dry–Wet and Freeze–Thaw Cycles

Risk Assessment of Water Inrush from Coal Seam Floor with a PCA–RST Algorithm in Chenmanzhuang Coal Mine, China

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