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

B. Scheeren*, Lotfollah Pahlavan

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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.
Original languageEnglish
Title of host publicationEuropean Workshop on Structural Health Monitoring
Subtitle of host publicationEWSHM 2022 - Volume 3
EditorsPiervincenzo Rizzo, Alberto Milazzo
Place of PublicationCham, Switzerland
PublisherSpringer Science+Business Media
Pages892-901
ISBN (Electronic)978-3-031-07322-9
ISBN (Print)978-3-031-07321-2
DOIs
Publication statusPublished - 2022
Event10th European Workshop on Structural Health Monitoring, EWSHM 2022 - Palermo, Italy
Duration: 4 Jul 20227 Jul 2022

Publication series

NameLecture Notes in Civil Engineering
Volume270 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference10th European Workshop on Structural Health Monitoring, EWSHM 2022
Country/TerritoryItaly
CityPalermo
Period4/07/227/07/22

Bibliographical note

Accepted Author Manuscript

Keywords

  • Acoustic Emission
  • Condition Monitoring
  • Roller Bearing
  • Clustering
  • Offshore

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