One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery

Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Sadok Sassi, Abdelrahman Ibrahim, Moncef Gabbouj

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

This paper presents a novel real-time rotating machinery damage monitoring system. The system detects, quantifies, and localizes damage in ball bearings in a fast and accurate way using one-dimensional convolutional neural networks (1D-CNNs). The proposed method has been validated with experimental work not only for single damage but also for multiple damage cases introduced onto ball bearings in laboratory environment. The two 1D-CNNs (one set for the interior bearing ring and another set for the exterior bearing ring) were trained and tested under the same conditions for torque and speed. It is observed that the proposed system showed excellent performance even with the severe additive noise. The proposed method can be implemented in practical use for online defect detection, monitoring, and condition assessment of ball bearings and other rotatory machine elements.

Original languageEnglish
Title of host publicationRotating Machinery, Optical Methods and Scanning LDV Methods, Volume 6 - Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021
EditorsDario Di Maio, Javad Baqersad
PublisherSpringer
Pages73-83
Number of pages11
ISBN (Print)9783030763343
DOIs
Publication statusPublished - 2022
Publication typeA4 Article in a conference publication
EventIMAC CONFERENCE AND EXPOSITION ON STRUCTURAL DYNAMICS -
Duration: 1 Jan 1900 → …

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
ISSN (Print)2191-5644
ISSN (Electronic)2191-5652

Conference

ConferenceIMAC CONFERENCE AND EXPOSITION ON STRUCTURAL DYNAMICS
Period1/01/00 → …

Keywords

  • Ball bearings
  • Bearing defects
  • CNNs
  • Convolutional neural networks
  • Damage detection
  • Real-time monitoring
  • Rotating machinery

Publication forum classification

  • Publication forum level 0

ASJC Scopus subject areas

  • Engineering(all)
  • Computational Mechanics
  • Mechanical Engineering

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