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 |
|---|---|
| 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 Sept 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
-
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
Dive into the research topics of 'Modelling acoustic emissions generated by tribological behaviour of mechanical seals for condition monitoring and fault detection'. Together they form a unique fingerprint.Profiles
-
Fengshou Gu
- Department of Engineering - Professor Emeritus
- School of Computing and Engineering - Professor Emeritus
Person
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver