Acoustic emission monitoring of mechanical seals using music algorithm based on higher order statistics

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12 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)811-816
Number of pages6
JournalKey Engineering Materials
Publication statusPublished - 2009


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