Gas-leak localization using distributed ultrasonic sensors

Javid Huseynov; Shankar Baliga; Michael Dillencourt; Lubomir Bic; Nader Bagherzadeh

doi:10.1117/12.812058

7 April 2009 Gas-leak localization using distributed ultrasonic sensors

Javid Huseynov, Shankar Baliga, Michael Dillencourt, Lubomir Bic, Nader Bagherzadeh

Proceedings Volume 7293, Smart Sensor Phenomena, Technology, Networks, and Systems 2009; 72930Z (2009) https://doi.org/10.1117/12.812058
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

Abstract

We propose an ultrasonic gas leak localization system based on a distributed network of sensors. The system deploys highly sensitive miniature Micro-Electro-Mechanical Systems (MEMS) microphones and uses a suite of energy-decay (ED) and time-delay of arrival (TDOA) algorithms for localizing a source of a gas leak. Statistical tools such as the maximum likelihood (ML) and the least squares (LS) estimators are used for approximating the source location when closed-form solutions fail in the presence of ambient background nuisance and inherent electronic noise. The proposed localization algorithms were implemented and tested using a Java-based simulation platform connected to four or more distributed MEMS microphones observing a broadband nitrogen leak from an orifice. The performance of centralized and decentralized algorithms under ED and TDOA schemes is analyzed and compared in terms of communication overhead and accuracy in presence of additive white Gaussian noise (AWGN).

Citation Download Citation

Javid Huseynov, Shankar Baliga, Michael Dillencourt, Lubomir Bic, and Nader Bagherzadeh "Gas-leak localization using distributed ultrasonic sensors", Proc. SPIE 7293, Smart Sensor Phenomena, Technology, Networks, and Systems 2009, 72930Z (7 April 2009); https://doi.org/10.1117/12.812058

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