Bearings fault detection in gas compressor in presence of high level of non-Gaussian impulsive noise.

Tomasz Barszcz, Radoslaw Zimroz, Jacek Urbanek, Adam Jabłoński, Walter Bartelmus

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

The paper deals with the local damage detection in rolling element bearings in presence of a high level non-Gaussian noise. In practice, damage detection problem has to concern filtering, decomposition or extraction issue. Unfortunately, in the most of the industrial systems mentioned unwanted sources are in fact not Gaussian, so many of de-noising techniques cannot be applied directly or at least might give unexpected results. In this paper an industrial example will be discussed and novel approach based on advanced cyclostationary-based technique will be proposed. In the paper disturbances include periodic impacts in reciprocating compressor on an oil rig. Existing classical detection techniques (statistics in time domain, analysis of envelope spectrum, time-frequency decompositions) are insufficient to perform the task due to high power of disturbance contribution in comparison to damage signature. In the proposed technique, the Spectral Coherence Density Map (SCDM) is estimated first. Next step is related to analysis of SCDM contents and selection of informative part of the map.

Original languageEnglish (US)
Title of host publicationDamage Assessment of Structures X
PublisherTrans Tech Publications Ltd
Pages473-480
Number of pages8
ISBN (Print)9783037857960
DOIs
StatePublished - 2013
Externally publishedYes
Event10th International Conference on Damage Assessment of Structures, DAMAS 2013 - Dublin, Ireland
Duration: Jul 8 2013Jul 10 2013

Publication series

NameKey Engineering Materials
Volume569-570
ISSN (Print)1013-9826
ISSN (Electronic)1662-9795

Other

Other10th International Conference on Damage Assessment of Structures, DAMAS 2013
Country/TerritoryIreland
CityDublin
Period7/8/137/10/13

Keywords

  • Damage detection
  • Non-Gausian noise
  • Rolling element bearings
  • Vibration analysis

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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