Fan, Yibo, Gu, Fengshou and Ball, Andrew (2009) Acoustic Emission Monitoring of Mechanical Seals Using MUSIC Algorithm based on Higher Order Statistics. Key Engineering Materials, 413-41. pp. 811-816. ISSN 1013-9826
|PDF - Accepted Version |
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-tonoise
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.
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