Stochastic-basis matched-field processing

2015 ◽  
Vol 138 (3) ◽  
pp. 1929-1929
Author(s):  
Steven I. Finette ◽  
Peter C. Mignerey ◽  
Roger M. Oba
Keyword(s):  
Matched Field Processing ◽  
Stochastic Basis

Matched field processing for underwater source localization

2003 ◽  
Author(s):  
D.D. Pierce ◽  
J.H. Miller ◽  
C.W. Therrien
Keyword(s):  
Source Localization ◽  
Matched Field Processing

Photoacoustic Leak Testing

2000 ◽  
Author(s):  
Serdar H. Yönak ◽  
David R. Dowling
Keyword(s):  
Carbon Dioxide Laser ◽  
Control Process ◽  
Noise Levels ◽  
Tracer Gas ◽  
Acoustic Environment ◽  
Matched Field Processing ◽  
Gas Leak ◽  
Quality Control Process ◽  
Leak Testing ◽  
Detection And Localization

Abstract Leak testing is a critical manufacturing quality control process. Unintended leaks in pressurized or evacuated containers may be detrimental to consumers, manufacturers, and/or the environment. This paper describes a leak detection and localization technique based on photoacoustic sounds produced by scanning a carbon dioxide laser over leaks emitting a photoactive tracer gas, sulfur hexaflouride. Photoacoustic signals are recorded in a bandwidth from 3 up to 110 kHz by multiple microphones. From these recorded signals, the presence or absence of a leak may be deduced by comparison with background noise levels. When a leak is present, its location is determined from a simple model of the acoustic environment and matched field processing (MFP). Current results show that a gas leak of 1 cm3 per day can be detected and localized to within ±1 mm in a few seconds using four microphones placed 0.41 m from the leak location and an incoherent average of the MFP ambiguity surfaces at twelve signal frequencies.

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