Title :
Stochastic modeling of leak detection and localization using ultrasonic sensor array
Author :
Roufarshbaf, Hossein ; Castro, Jose ; Abedi, Ali
Author_Institution :
Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA
Abstract :
Leak detection and localization appears in many engineering applications such as aerospace and engineering industries. Existing approaches for leak detection and localization from surface borne ultrasonic signals are based on triangulation techniques [1], [2]. Ultrasonic signals are prone to reverberation and multipath effect since they are reflected from various surfaces of the structure. Reverberation and multipath generates multiple detections for each sensor. Therefore, the sensor measure signals with uncertain origin signals, where the conventional algorithms based on triangulation techniques can not be applied.
Keywords :
stochastic processes; ultrasonic transducer arrays; aerospace industries; engineering industries; leak detection; leak localization; multipath effect; stochastic modeling; triangulation techniques; ultrasonic sensor array; ultrasonic signals; Acoustics; Arrays; Bayes methods; Computational modeling; Computers; Leak detection; Receivers;
Conference_Titel :
Wireless for Space and Extreme Environments (WiSEE), 2013 IEEE International Conference on
Conference_Location :
Baltimore, MD
DOI :
10.1109/WiSEE.2013.6737573