Mr. Shabbir Ahmed Profile

Shabbir Ahmed

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 | 19 April 2022 Presentation + Paper

Active sensing acousto-ultrasound SHM via stochastic time series models

Shabbir Ahmed, Fotis Kopsaftopoulos

Proceedings Volume 12048, 1204815 (2022) https://doi.org/10.1117/12.2630956

KEYWORDS: Autoregressive models, Damage detection, Structural health monitoring, Sensors, Waveguides, Statistical modeling, Signal detection, Statistical analysis

Read Abstract +

In this work, a statistical damage diagnosis scheme using stochastic time series models in the context of acousto ultrasound guided wave-based structural health monitoring (SHM) has been proposed and its performance has been assessed experimentally. Three different methods of damage diagnosis were employed, namely: i) standard autoregressive (AR)-based method, ii) singular value decomposition (SVD)-based method, and iii) principal component analysis-based method. For estimating the AR model parameters, the asymptotically efficient weighted least squares (WLS) method was used. The estimated model parameters were then used to estimate a statistical characteristic quantity that follows a chi-squared distribution. A statistical threshold derived from the chi-squared distribution that depends on the number of degrees of freedom was used instead of a user-defined margin to facilitate automatic damage detection. The method’s effectiveness is assessed via multiple experiments under various damage scenarios using damage intersecting as well as non-intersecting paths.

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