基于干扰因子的电磁干扰复杂度评估方法
By extracting electromagnetic interference signal features through variational mode decomposition and generalized S-transform, and combining them with a neural network to construct a complexity assessment model, the difficulty of assessing smart grid equipment in complex electromagnetic environments is solved, and quantitative assessment and accurate prediction of multidimensional signals are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN UNIV OF TECH
- Filing Date
- 2023-09-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to simultaneously extract and calculate different characteristic parameters, lack multidimensional signal evaluation methods, and cannot qualitatively and quantitatively assess the complexity of electromagnetic signals in cross-regional areas, leading to difficulties in evaluating smart grid equipment in complex electromagnetic environments.
Variational mode decomposition and generalized S-transform are used to extract the time-frequency features of electromagnetic interference signals. A complexity evaluation model is constructed by combining neural networks, and multidimensional signal evaluation is performed by interference factor If and complexity index CMCSI.
It enables quantitative assessment and accurate prediction of the complexity of electromagnetic interference signals of smart grid equipment, providing a reference and basis for engineering applications, and is applicable to the complexity assessment of multidimensional signals.
Smart Images
Figure CN117478243B_ABST