基于多维数据分析的配电网设备缺陷自动化识别方法
By constructing a comprehensive index to process the frame acoustic signal features in multidimensional data, the problem of interference in the inspection of power distribution network equipment was solved, and more accurate automated defect identification was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JIAMUSI POWER IND BUREAU
- Filing Date
- 2026-05-15
- Publication Date
- 2026-07-17
AI Technical Summary
In the current inspection of power distribution network equipment, multidimensional data is affected by environmental noise, electromagnetic and mechanical interference, resulting in a large number of non-defect fault features in the data, which mask the equipment defect fault features and reduce the reliability of automatic defect identification.
By analyzing the power spectrum, correlation, and time interval characteristics of frame acoustic signals in multidimensional data, a comprehensive index is constructed, labels are adjusted, and a neural network model is trained to identify the operating status of the equipment.
It improves the accuracy of automated defect identification in power distribution network equipment, avoids misjudgments caused by external interference, and enhances the reliability of model identification.
Smart Images
Figure CN122238799B_ABST