The study presents AW-HRNet,a lightweight high-resolution crack segmentation network that couples Adaptive residual enhancement(AREM)in the spatial domain with Wavelet-based decomposition-reconstruction(WDRM)in the fr...The study presents AW-HRNet,a lightweight high-resolution crack segmentation network that couples Adaptive residual enhancement(AREM)in the spatial domain with Wavelet-based decomposition-reconstruction(WDRM)in the frequency domain.AREM introduces a learnable channel-wise scaling after standard 3×3 convolution and merges it through a residual path to stabilize crack-sensitive responses while suppressing noise.WDRM performs DWT to decouple LL/LH/HL/HH sub-bands,conducts lightweight cross-band fusion,and applies IDWT to restore detail-enhanced features,unifying global topology and boundary sharpness without deformable offsets.Integrated into a high-resolution backbone with auxiliary deep supervision,AW-HRNet attains 79.07%mIoU on CrackSeg9k with only 1.24M parameters and 0.73 GFLOPs,offering an excellent accuracy-efficiency trade-off and strong robustness for real-world deployment.展开更多
Fault section location of a single-phase grounding fault is affected by the neutral grounding mode of the system, transition resistance, and the blind zone. A fault section locating method based on an amplitude featur...Fault section location of a single-phase grounding fault is affected by the neutral grounding mode of the system, transition resistance, and the blind zone. A fault section locating method based on an amplitude feature and an intelligent distance algorithm is proposed to eliminate the influence of the above factors. By analyzing and comparing the amplitude characteristics of the zero-sequence current transient components at both ends of the healthy section and the faulty section, a distance algorithm with strong abnormal data immune capability is introduced in this paper. The matching degree of the amplitude characteristics at both ends of the feeder section are used as the criterion and by comparing with the set threshold, the faulty section is effectively determined. Finally, simulations using Matlab/Simulink and PSCAD/EMTDC show that the proposed section locating method can locate the faulty section accurately, and is not affected by grounding mode, grounding resistance, or the blind zone.展开更多
文摘The study presents AW-HRNet,a lightweight high-resolution crack segmentation network that couples Adaptive residual enhancement(AREM)in the spatial domain with Wavelet-based decomposition-reconstruction(WDRM)in the frequency domain.AREM introduces a learnable channel-wise scaling after standard 3×3 convolution and merges it through a residual path to stabilize crack-sensitive responses while suppressing noise.WDRM performs DWT to decouple LL/LH/HL/HH sub-bands,conducts lightweight cross-band fusion,and applies IDWT to restore detail-enhanced features,unifying global topology and boundary sharpness without deformable offsets.Integrated into a high-resolution backbone with auxiliary deep supervision,AW-HRNet attains 79.07%mIoU on CrackSeg9k with only 1.24M parameters and 0.73 GFLOPs,offering an excellent accuracy-efficiency trade-off and strong robustness for real-world deployment.
基金supporting by the National Natural Science Foundation of China(52077120)Research Fund for Excellent Dissertation of China Three Gorges University(2021SSPY056).
文摘Fault section location of a single-phase grounding fault is affected by the neutral grounding mode of the system, transition resistance, and the blind zone. A fault section locating method based on an amplitude feature and an intelligent distance algorithm is proposed to eliminate the influence of the above factors. By analyzing and comparing the amplitude characteristics of the zero-sequence current transient components at both ends of the healthy section and the faulty section, a distance algorithm with strong abnormal data immune capability is introduced in this paper. The matching degree of the amplitude characteristics at both ends of the feeder section are used as the criterion and by comparing with the set threshold, the faulty section is effectively determined. Finally, simulations using Matlab/Simulink and PSCAD/EMTDC show that the proposed section locating method can locate the faulty section accurately, and is not affected by grounding mode, grounding resistance, or the blind zone.
