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

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

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Abstract

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.

Item Type: Article
Additional Information: (C) Trans Tech Publications
Uncontrolled Keywords: Acoustic emission, Mechanical seals, Higher Order Statistics, MUSIC Algorithm
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Related URLs:
Depositing User: Graham Stone
Date Deposited: 27 May 2009 15:58
Last Modified: 08 Dec 2010 13:10
URI: http://eprints.hud.ac.uk/id/eprint/4537

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