Sensor network performance and reliability evaluation algorithms

Durai Arun P.; Sathyanarayana C. N.; Raja S.; Naidu V. P. S.

doi:10.1117/12.2258362

12 April 2017 Sensor network performance and reliability evaluation algorithms

Durai Arun P., Sathyanarayana C. N., Raja S., Naidu V. P. S.

Proceedings Volume 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017; 101682A (2017) https://doi.org/10.1117/12.2258362
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

Sensor data validation is a key module in any fault diagnosis system. A pattern recognition based algorithm is therefore proposed to validate the reliability of an arbitrarily distributed sensor network and its data. Single-frequency Lamb wave experiments are conducted on aircraft qualified aluminium plates, which have perfectly bonded and debonded Lead Zirconate Titanate patches along with structural damage in the form of holes. Sensor debondings are examined using sensor network data. Simple features like standard deviation, autocorrelation are extracted from Lamb wave signals and employed in the pattern recognition system that distinctly identifies the sensor debonding albeit the structural damage is present.

Conference Presentation

Citation Download Citation

Durai Arun P., Sathyanarayana C. N., Raja S., and Naidu V. P. S. "Sensor network performance and reliability evaluation algorithms", Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 101682A (12 April 2017); https://doi.org/10.1117/12.2258362

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