Identification of broadband acoustic emission signals

Ian R. Searle; Steve M. Ziola

doi:10.1117/12.240867

30 May 1996 Identification of broadband acoustic emission signals

Ian R. Searle, Steve M. Ziola

Proceedings Volume 2718, Smart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation; (1996) https://doi.org/10.1117/12.240867
Event: 1996 Symposium on Smart Structures and Materials, 1996, San Diego, CA, United States

Abstract

Aircraft and rotorcraft health monitoring systems (HMS) must be capable of identifying structural damage (cracks) when the damage is very small. Typically, small is small enough that classical finite element modeling methods are inadequate. Monitoring the structure at very high frequencies and using a combination of relativistic, and absolute measures of the monitored signals can be used to provide a measure of the structures health. Passively monitoring the structure for waveforms, generated by crack growth is a promising method for incorporation into a health monitoring system. This paper discusses research into the implementation of such a system. The issue of signal de-noising using adaptive filters prior to waveform identification are addressed, and results presented.

Citation Download Citation

Ian R. Searle and Steve M. Ziola "Identification of broadband acoustic emission signals", Proc. SPIE 2718, Smart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation, (30 May 1996); https://doi.org/10.1117/12.240867

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