Terahertz defect detection method based on significant spectral feature fusion and spiking neural network
Zhonghao Zhang,
Zong Li,
Bin Cao
et al.
Abstract:Composite insulation equipment is widely used in power systems, and the detection of internal material interface defects is an important and difficult task in power grids. Terahertz wave can help detect internal faults in equipment in a timely manner, but the analysis of large amounts of data has brought about significant labor costs. In order to improve the efficiency of Terahertz wave detection, this paper proposes a Terahertz wave defect detection method based on spectrum feature fusion and spiking neural n… Show more
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