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Acoustic Emission Monitoring of Mechanical Seals\ud Using MUSIC Algorithm based on Higher Order Statistics

By Yibo Fan, Fengshou Gu and Andrew Ball

Abstract

This paper presents the use of the MUSIC algorithm improved by higher order statistics\ud (HOS) to extract key features from the noisy acoustic emission (AE) signals. The low signal-tonoise\ud ratio of AE signals has been identified as a main barrier to the successful condition\ud monitoring of pump mechanical seals. Since HOS methods can effectively eliminate Gaussian\ud noise, it is possible in theory to identify a change in seal conditions from AE measurements even\ud with low signal-to-noise ratios. Tests conducted on a test rig show that the developed algorithm can\ud successfully detect the AE signal generated from the friction of seal faces under noisy conditions

Topics: TJ
Publisher: Trans Tech Publications
Year: 2009
OAI identifier: oai:eprints.hud.ac.uk:4537

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Citations

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