Digital twin: enabling technology for future aircraft health monitoring

Fuh-Gwo Yuan

doi:10.1117/12.3017847

10 May 2024 Digital twin: enabling technology for future aircraft health monitoring

Fuh-Gwo Yuan

Proceedings Volume 12949, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024; 1294902 (2024) https://doi.org/10.1117/12.3017847
Event: SPIE Smart Structures + Nondestructive Evaluation, 2024, Long Beach, California, United States

Abstract

The talk will begin with a brief introduction of structural health monitoring (SHM) which has been attracting intensive attention since early 1990s. An essential difference between sensor centric SHM and nondestructive evaluation (NDE) will be highlighted. Advances in smart sensors powered by energy harvesting via ambient vibrations will be exemplified by two practical case studies. Recent advances in computer vision based SHM techniques using optical non-contact sensors with machine learning to detect impact loading and barely visible impact damage (BVID) in composite panels will be discussed in details. Finally, the digital twin framework under digital transformation and artificial intelligence (AI) is gaining potential to pave the way for future aircraft health monitoring.

Conference Presentation

Citation Download Citation

Fuh-Gwo Yuan "Digital twin: enabling technology for future aircraft health monitoring", Proc. SPIE 12949, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024, 1294902 (10 May 2024); https://doi.org/10.1117/12.3017847

ACCESS THE FULL ARTICLE

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