Bearing Signal Separation of Commercial Helicopter Main Gearbox

Faris Elasha, Matthew Greaves, David Mba

Research output: Contribution to journalArticle

2 Citations (Scopus)
75 Downloads (Pure)

Abstract

Gears are significant component in a multiplicity of industrial applications such as machine tool and gearboxes. An unforeseen failure of gear may result in significant economic losses. Therefore this research propose fault detection improvement throught series of vibration signal processing techuiques. These techniques have been tested experimentally using vibration data collected from the transmission system of a CS-29 ‘Category A’ helicopter gearbox under different bearing damage severity of the second planetary stage. Results showed successful improvement of bearing fault detection.
Original languageEnglish
Pages (from-to)111-115
Number of pages5
JournalProcedia CIRP
Volume59
DOIs
Publication statusPublished - 2 Mar 2017
EventThe 5th International Conference on Through-life Engineering Services (TESConf 2016) - Cranfield, United Kingdom
Duration: 1 Nov 20162 Nov 2016
Conference number: 5
https://www.through-life-engineering-services.org/index.php/home

Fingerprint

Bearings (structural)
Fault detection
Helicopters
Gears
Machine tools
Industrial applications
Signal processing
Economics

Keywords

  • Helicopters
  • Gearboxes
  • Vibration
  • Diagnosis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Bearing Signal Separation of Commercial Helicopter Main Gearbox. / Elasha, Faris; Greaves, Matthew; Mba, David.

In: Procedia CIRP, Vol. 59, 02.03.2017, p. 111-115.

Research output: Contribution to journalArticle

Elasha, Faris ; Greaves, Matthew ; Mba, David. / Bearing Signal Separation of Commercial Helicopter Main Gearbox. In: Procedia CIRP. 2017 ; Vol. 59. pp. 111-115.
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