Leak detection and localization are critical manufacturing quality-control
processes. Many industrial and domestic machines use or convey pressurized
gases or liquids. Unintended leaks from machine components may be detriment
al to consumers, manufacturers, and the environment. This paper describes a
leak detection technique based on photoacoustic sounds produced by the int
eraction of a carbon dioxide (CO2) laser tuned to 10.6 micrometers and a ph
otoactive tracer gas, sulfur hexaflouride (SF6), emitted by calibrated leak
sources. Acoustic signals generated by a high-speed scan of the laser beam
through the cloud of tracer gas formed near the leak are recorded in a ban
dwidth from 3 to 52 kHz by multiple microphones. From the recorded signals,
the presence or absence of a leak may be deduced by comparison with the ba
ckground noise level at the signal frequencies, which occur at the harmonic
s of the scan rare. When a leak is present, its location is determined from
a simple model of the acoustic environment and matched field processing (M
FP). Current results show that a gas leak of 1 cm(3) per day can be detecte
d and localized to within +/-3 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 eight signal frequencies. Comparisons of the Bartlett
and minimum-variance-distortionless matched field processors are also pres
ented. (C) 1999 Acoustical Society of America. [S0001-4966(99)01905-0].