Leak noise detection and characterisation using statistical features

Covariance Matrix based statistical features have been used to detect leak, identify noise source and characterise noise transmission off-line on data from PFR Steam Generator Units. The methods show promise in their ability to detect leak in actual Steam Generator Units from the noise data with very low S/N ratios. Further analysis of data have yielded useful information on the potential of acoustic leak detection system.