Method and device for identification of working mode parameters based on self-iterative principal component extraction
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUAQIAO UNIVERSITY
- Publication Date
- 2019-07-09
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Abstract
Description
technical field
[0001] The invention relates to the field of modal parameter identification, in particular to a method and device for identifying working modal parameters based on self-iterative principal component extraction. Background technique
[0002] Modal parameters are important parameters that determine the dynamic characteristics of structures, such as modal natural frequencies, modal damping ratios, and main mode shapes. They are an important inverse problem in the study of structural dynamic characteristics. In addition, mode shapes provide a mathematical description of the state of vibration when the system is vibrating at a natural frequency. Therefore, modal parameter identification plays a vital role in the fields of structural modeling and model correction, sensitivity analysis, active and passive vibration control, damage identification, and structural health monitoring. Unlike traditional experimental modal analysis (EMA), operational modal analysis (OMA)...