Condition Assessment of Low-Speed Slew Bearings in Offshore Applications Using Acoustic Emission Monitoring

Conference paper (2022)

Authors

B. Scheeren Ship Hydromechanics and Structures - Mechanical, Maritime and Materials Engineering

Lotfollah Pahlavan Ship Hydromechanics and Structures - Mechanical, Maritime and Materials Engineering

Research Group

Ship Hydromechanics and Structures (Mechanical, Maritime and Materials Engineering) (TU Delft)

DOI: https://doi.org/10.1007/978-3-031-07322-9_90

Clustering Condition Monitoring Offshore Acoustic Emission Roller Bearing

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Published Date

2022

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Ship Hydromechanics and Structures

Abstract

This study presents an approach for the detection of evolving degradation in large-scale low-speed roller bearings by clustering of Acoustic Emission (AE) events, and its application to experimental degradation data. To acquire the latter, a purpose-built linear bearing, representative of a segment of a turret bearing, has been instrumented with multiple piezoelectric AE transducers in the frequency range between 40–580 kHz. Clustering based on cross-correlation has identified a number of significant clusters that are linked to the observed damage. The results suggest that condition monitoring based on AE waveform similarity clustering is suitable for detection and identification of degradation in a large-scale roller bearing.

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- Embargo expired in 22-12-2022