Effectiveness of adaptive filter algorithms and spectral kurtosis in bearing faults detection in a gearbox

Faris Elasha, David Mba, Cristobal Ruiz-Carcel

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

6 Citations (Scopus)

Abstract

Bearing faults detection at the earliest stages is vital in avoiding future catastrophic failures. Many traditional techniques have been established and utilized in detecting bearing faults, though, these diagnostic techniques are not always successful when the bearing faults take place in gearboxes where the vibration signal is complex; under such circumstances it may be necessary to separate the bearing signal from the complex signal. The objective of this paper is to assess the effectiveness of an adaptive filter algorithms compared to a Spectral Kurtosis (SK) algorithm in diagnosing a bearing defects in a gearbox. Two adaptive filters have been used for the purpose of bearing signal separation, these algorithms were Least Mean Square (LMS) and Fast Block LMS (FBLMS) algorithms. These algorithms were applied to identify a bearing defects in a gearbox employed for an aircraft control system for which endurance tests were performed. The results show that the LMS algorithm is capable of detecting the bearing fault earlier in comparison to the other algorithms.

Original languageEnglish
Title of host publicationVibration Engineering and Technology of Machinery
Subtitle of host publicationProceedings of VETOMAC X, 2014, held at the University of Manchester, UK, September 9-11, 2014
EditorsJyoti K. Sinha
Place of PublicationCham
PublisherSpringer
Pages219-229
Number of pages11
ISBN (Electronic)9783319099170
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event10th International Conference on Vibration Engineering and Technology of Machinery - Manchester, United Kingdom
Duration: 9 Sep 201411 Sep 2014

Conference

Conference10th International Conference on Vibration Engineering and Technology of Machinery
Abbreviated titleVETOMAC 2014
CountryUnited Kingdom
CityManchester
Period9/09/1411/09/14

Keywords

  • Adaptive filter
  • Bearing diagnostics
  • Signal separation
  • Vibration

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering

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