Modelling acoustic emissions generated by tribological behaviour of mechanical seals for condition monitoring and fault detection

Hossein Towsyfyan, Fengshou Gu, Andrew Ball, Bo Liang

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

LanguageEnglish
Pages46-58
Number of pages13
JournalTribology International
Volume125
DOIs
Publication statusPublished - 1 Sep 2018

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fault detection
acoustic emission
Condition monitoring
Acoustic emissions
Fault detection
Seals
mathematical models
signatures
Mathematical models
energy

Cite this

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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.",
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AU - Liang, Bo

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