Detection of Hydrophobicity Grade of Composite Insulators Based on MDC‐YOLO Algorithm

Energy Science & Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 24, 2025

ABSTRACT In the field of power equipment inspection, aging condition composite insulators is often determined by detection water repellency. However, existing methods are difficult to effectively extract repellency level features in complex background, and it meet real‐time requirements. Therefore, this paper proposes a MDC‐YOLO algorithm for classification insulators. The combines efficient convolutional network (EfficientNetV2), deformable attention mechanism (DAttention), lightweight convolution (CSPPC), which significantly realizes network, at same time improves accuracy insulator umbrella skirt identification, class classification. Experimentally verified, multilayer YOLO proposed paper, i.e., algorithm, 5.19% reduces GFLOPs 3.5, Top‐1 grade 4.654% 1.1. results present research can be widely applied study used fields smart grid construction state assessment, provides strong support technical development related fields. It meets requirements hydrophobicity insulators, proves effectiveness superiority through ablation comparison tests.

Язык: Английский

AgOCN Piezoresistive Sensor for Human Motion Signal Detection Based on Electrospinning Method

ACS Omega, Год журнала: 2025, Номер unknown

Опубликована: Май 24, 2025

Язык: Английский

Sustainable synthesis of porous carbon with molecular sieve-like properties from waste biomass-derived heavy oil via dual green activation strategy for enhanced aqueous environmental remediation

Journal of Materials Chemistry A, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Green synthesis of carbon molecular sieve adsorbents from waste heavy bio-oil residues for enhanced water remediation and resource recovery.

Язык: Английский