Flutter signal analysis method based on convolutional neural network and short-time Fourier transform
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NORTHWESTERN POLYTECHNICAL UNIV
- Publication Date
- 2020-03-06
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Abstract
Description
technical field
[0001] The invention belongs to a flutter signal analysis method, and relates to a flutter signal analysis method based on a convolutional neural network and a short-time Fourier transform. Background technique
[0002] Flutter is a very dangerous aeroelastic instability phenomenon produced by an elastic structure under the coupled action of aerodynamic force, elastic force and inertial force, which often leads to disastrous consequences. However, due to the deficiencies in the theoretical analysis and calculation of flutter at the present stage, in order to supplement and verify the flutter design, the flutter test in engineering has become an unavoidable important link in the aircraft development process, and the flutter signal can be analyzed and processed accurately and effectively. It is an important task of this kind of experimental data processing.
[0003] In the flutter test, the structural response signal most directly reflects the process of mode ...