Diagnostics measure for roller bearings based on variable moiré gratings

Loreta Saunoriene , Paulius Palevicius , Giedrius Laukaitis , Maciej Trusiak , Krzysztof Patorski , Minvydas Ragulskis

Abstract

This paper is focused on the construction of a novel signal processing algorithm for the diagnostics of roller bearings. The proposed approach is based on the computational analysis of time-averaged images produced by specially designed moiré gratings which are deflected from the state of equilibrium according to the recorder vibration signal of the bearing. It is demonstrated that the statistical properties of time-averaged images can be exploited as an effective diagnostics measure of roller bearings. Extensive computational experiments with a dataset provided by the Center for Intelligent Maintenance Systems, University of Cincinnati are used to demonstrate the efficacy of the proposed technique.
Author Loreta Saunoriene - Department of Mathematical Modelling [Kaunas University of Technology]
Loreta Saunoriene,,
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, Paulius Palevicius - Department of Mathematical Modelling [Kaunas University of Technology]
Paulius Palevicius,,
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, Giedrius Laukaitis - Department of Physics [Kaunas University of Technology]
Giedrius Laukaitis,,
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, Maciej Trusiak (FM / IMPh)
Maciej Trusiak,,
- The Institute of Micromechanics and Photonics
, Krzysztof Patorski (FM / IMPh)
Krzysztof Patorski,,
- The Institute of Micromechanics and Photonics
, Minvydas Ragulskis - Department of Mathematical Modelling [Kaunas University of Technology]
Minvydas Ragulskis,,
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Journal seriesOptics and Lasers in Engineering, ISSN 0143-8166, e-ISSN 1873-0302
Issue year2020
Vol133
Pages1-12
Publication size in sheets0.55
Article number106137
Keywords in Englishtime-averaged moiré, fault diagnostics, roller bearing
ASJC Classification2208 Electrical and Electronic Engineering; 2210 Mechanical Engineering; 2504 Electronic, Optical and Magnetic Materials; 3107 Atomic and Molecular Physics, and Optics
DOIDOI:10.1016/j.optlaseng.2020.106137
URL https://www.sciencedirect.com/science/article/abs/pii/S0143816619319487?via%3Dihub
Languageen angielski
Score (nominal)140
Score sourcejournalList
ScoreMinisterial score = 140.0, 07-09-2020, ArticleFromJournal
Publication indicators Scopus Citations = 0; WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.874; WoS Impact Factor: 2018 = 4.059 (2) - 2018=3.486 (5)
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