基于模态置信准则及拟合FRF效果评价的振型极点筛选方法
By using automated methods for evaluating modal confidence criteria and fitted FRF effects, the problem of low efficiency in manual screening in modal analysis is solved. This achieves automated and standardized screening of mode shapes and poles, thereby improving the efficiency and accuracy of modal analysis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN BORUICHUANG TECH CO LTD
- Filing Date
- 2026-05-20
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, mode shape and pole selection in modal analysis rely on manual operation, resulting in low efficiency, inconsistent results, difficulty in meeting the needs of large-scale analysis, and a lack of unified standards.
An automated method based on modal confidence criterion (MAC) and FRF fitting effect evaluation is adopted. The algorithm automatically completes MAC value calculation, suspected repeating mode shape and pole identification, FRF fitting verification and pole selection, thereby realizing the automation and standardization of mode shape and pole selection.
It improves the efficiency and accuracy of modal analysis, reduces false positives and false negatives, adapts to the needs of large-scale analysis, and ensures the consistency and reliability of screening results.
Smart Images
Figure CN122220825B_ABST