Paper Title:

Acoustic Emission Monitoring of Mechanical Seals Using MUSIC Algorithm Based on Higher Order Statistics

Periodical Key Engineering Materials (Volumes 413 - 414)
Main Theme Damage Assessment of Structures VIII
Edited by F. Chu, H. Ouyang, V. Silberschmidt, L. Garibaldi, C.Surace, W.M. Ostachowicz and D. Jiang
Pages 811-816
DOI 10.4028/
Citation Yi Bo Fan et al., 2009, Key Engineering Materials, 413-414, 811
Online since June 2009
Authors Yi Bo Fan, Feng Shou Gu, Andrew Ball
Keywords Acoustic Emission (AE), Higher Order Statistic, Mechanical Seal, Music Algorithm
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This paper presents the use of the MUSIC algorithm improved by higher order statistics (HOS) to extract key features from the noisy acoustic emission (AE) signals. The low signal-to-noise ratio of AE signals has been identified as a main barrier to the successful condition monitoring of pump mechanical seals. Since HOS methods can effectively eliminate Gaussian noise, it is possible in theory to identify a change in seal conditions from AE measurements even with low signal-to-noise ratios. Tests conducted on a test rig show that the developed algorithm can successfully detect the AE signal generated from the friction of seal faces under noisy conditions.