Paper Title:
Acoustic Emission Monitoring of Mechanical Seals Using MUSIC Algorithm Based on Higher Order Statistics
| Periodical | Key Engineering Materials (Volumes 413 - 414) |
|---|---|
| Main Theme | Damage Assessment of Structures VIII |
| Edited by | F. Chu, H. Ouyang, V. Silberschmidt, L. Garibaldi, C.Surace, W.M. Ostachowicz and D. Jiang |
| Pages | 811-816 |
| DOI | 10.4028/www.scientific.net/KEM.413-414.811 |
| Citation | Yi Bo Fan et al., 2009, Key Engineering Materials, 413-414, 811 |
| Online since | June, 2009 |
| Authors | Yi Bo Fan, Feng Shou Gu, Andrew Ball |
| Keywords | Acoustic Emission (AE), Higher Order Statistic, Mechanical Seal, Music Algorithm |
| Price | US$ 28,- |
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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-to-noise 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.
