Adaptive processing for noncontact inductive smart structure sensor interrogation system using hierarchical neural networks

William B. Spillman Jr.; S. Durkee; W. W. Kuhns

doi:10.1117/12.174214

1 May 1994 Adaptive processing for noncontact inductive smart structure sensor interrogation system using hierarchical neural networks

William B. Spillman Jr., S. Durkee, W. W. Kuhns

Author Affiliations +

Proceedings Volume 2192, Smart Structures and Materials 1994: Mathematics and Control in Smart Structures; (1994) https://doi.org/10.1117/12.174214
Event: 1994 North American Conference on Smart Structures and Materials, 1994, Orlando, FL, United States

Abstract

A method of non-contact interrogation of electronic and opto-electronic systems embedded within composite materials has been recently demonstrated. The method is based upon inductive coupling between external and embedded coils etched on thin electronic circuit cards. Measurement at two frequencies allow the coil separation and the value of an electrical parameter of interest to be determined. An investigation into the practicability of utilizing neural processing to calculate these parameters was carried out. The final system utilized a hierarchical architecture of three neural networks combined with an adaptive measurement of voltage at a frequency determined by the coil separation calculated by one of the neural networks. The system was implemented using custom electronics and a PC laptop computer. A description of the design process is given together with system performance parameters.

Citation Download Citation

William B. Spillman Jr., S. Durkee, and W. W. Kuhns "Adaptive processing for noncontact inductive smart structure sensor interrogation system using hierarchical neural networks", Proc. SPIE 2192, Smart Structures and Materials 1994: Mathematics and Control in Smart Structures, (1 May 1994); https://doi.org/10.1117/12.174214

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