Mr. Hao Bai Profile

Hao Bai

at Nanjing Univ of Aeronautics and Astronautics

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 23 April 2020 Paper

Flutter boundary prediction under continuous variable speed based on time series models

Hao Bai, Li Zhou

Proceedings Volume 11379, 1137923 (2020) https://doi.org/10.1117/12.2558038

KEYWORDS: Autoregressive models, Data modeling, Signal processing, Systems modeling, Wind measurement, Analytical research

Read Abstract +

Based on the time series model, the modal parameters of the continuous variable flutter test response signal are identified, and a set of flutter boundary prediction methods suitable for turbulent excitation is developed in this paper. In order to ensure the accuracy of the method, a modal parameter identification method is used to analyze the traditional autoregressive model (AR) and the time-varying autoregressive model (TVAR), and compare the accuracy of the two models. Finally, the method is applied to the flutter boundary prediction of turbulence signals. The prediction method combines the time series model with the stability criterion, constructs the stability parameters of the response signal, and the prediction results of flutter critical velocity are obtained by fitting and extrapolation. The numerical example shows the analysis results of the two models and proves the feasibility and effectiveness of the method. Finally, this method is used to predict the flutter boundary of low-speed wind tunnel test data, and the prediction error is less than 5%.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years