Leak noise detection and characterisation using statistical features

Authors
Srinivasan, GS Singh, OP Prabhakar, R
Citation
Gs. Srinivasan et al., Leak noise detection and characterisation using statistical features, ANN NUC ENG, 27(4), 2000, pp. 329-343
Citations number
12
Categorie Soggetti
Nuclear Emgineering
Journal title
ANNALS OF NUCLEAR ENERGY
ISSN journal
03064549 → ACNP
Volume
27
Issue
4
Year of publication
2000
Pages
329 - 343
Database
ISI
SICI code
0306-4549(200003)27:4<329:LNDACU>2.0.ZU;2-F
Abstract
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 ver y low S/N ratios. Further analysis of data have yielded useful information on the potential of acoustic leak detection system. (C) 2000 Elsevier Scien ce Ltd. All rights reserved.