Abstract
Acoustic emission (AE) signals are useful for the condition monitoring of mechanical seals as tribological regimes affect the AE signatures. In this paper the investigation develops a mathematical model that can predict the energy of an AE signal under different tribological regimes. The developed model has been validated with experimental studies and satisfactory results have been perceived. Therefore, the model has strong potential to be used to obtain tribological behaviour of mechanical seals and hence develop a reliable and accurate condition monitoring system under varying operating conditions.
Original language | English |
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Pages (from-to) | 46-58 |
Number of pages | 13 |
Journal | Tribology International |
Volume | 125 |
Early online date | 22 Apr 2018 |
DOIs | |
Publication status | Published - 1 Sep 2018 |
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Fengshou Gu
- Department of Engineering and Technology - Professor Emeritus
- School of Computing and Engineering
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