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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 journalArticlepeer-review

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 languageEnglish
Pages (from-to)46-58
Number of pages13
JournalTribology International
Volume125
Early online date22 Apr 2018
DOIs
Publication statusPublished - 1 Sept 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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