Method and device for identification of working mode parameters based on self-iterative principal component extraction

A technology for working mode and parameter identification, which is used in measurement devices, electrical digital data processing, special data processing applications, etc.
CN107271127BActive Publication Date: 2019-07-09HUAQIAO UNIVERSITY

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

The invention relates to a one-dimensional and three dimensional linear time invariant structure work modal parameter identification method based on self-iteration principal component extraction, a linear time-varying structure work modal parameter identification method based on slide window self-iteration principal component extraction, a fault diagnosis and health state detection method based on self-iteration principal component extraction work modal parameter identification, a work modal parameter identification testing device, and a work modal parameter identification device; the work modal parameter identification device can combine the one-dimensional and three dimensional work modal parameter identification method based on self-iteration principal component extraction, the linear time-varying structure work modal parameter identification method based on slide window self-iteration principal component extraction, and the equipment fault diagnosis and health state detection method, thus developing an embedded portable device. The method and device can effectively detecting the linear engineering structure work modal parameters online, can greatly reduce the time and memory expenditure, and can be easily applied on equipment fault diagnose, health monitoring, and system structure online real time analysis and optimization.
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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)...

Claims

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