Location of Repository

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

By Yibo Fan, Fengshou Gu and Andrew Ball


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

Suggested articles



  1. (1995). Acoustic Emission in Monitoring Sliding doi
  2. (1969). An Investigation of the Operation and Failure of Mechanical Face Seals, doi
  3. (1996). Diagnosis of Mechanical seals in large pumps, doi
  4. Improving the Reliability of Seal Systems for Pipeline and Highpressure Pumps,
  5. (1992). Plumridge: The Development of more Tolerant Mechanical Seals,
  6. (2000). Salant: Condition monitoring of mechanical seals: detection of film collapse using reflected ultrasonic waves, doi
  7. (2007). The condition monitoring of mechanical seals using acoustic emissions, doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.