Bearing signal separation of commercial helicopter main gearbox

David Mba

doi:10.1016/j.procir.2016.09.030

Bearing signal separation of commercial helicopter main gearbox

David Mba

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

© 2017 The Authors. 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 language	English
Pages (from-to)	111-115
Journal	Procedia CIRP
DOIs	https://doi.org/10.1016/j.procir.2016.09.030
Publication status	Published - 1 Nov 2016
Externally published	Yes

Access to Document

10.1016/j.procir.2016.09.030Licence: CC BY-NC-ND 4.0

Cite this

@article{c711dfbc69c442bd80901b28a9d66601,

title = "Bearing signal separation of commercial helicopter main gearbox",

abstract = "{\textcopyright} 2017 The Authors. 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.",

author = "David Mba",

year = "2016",

month = nov,

day = "1",

doi = "10.1016/j.procir.2016.09.030",

language = "English",

pages = "111--115",

}

TY - JOUR

T1 - Bearing signal separation of commercial helicopter main gearbox

AU - Mba, David

PY - 2016/11/1

Y1 - 2016/11/1

N2 - © 2017 The Authors. 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.

AB - © 2017 The Authors. 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.

U2 - 10.1016/j.procir.2016.09.030

DO - 10.1016/j.procir.2016.09.030

M3 - Article

SN - 2212-8271

SP - 111

EP - 115

JO - Procedia CIRP

JF - Procedia CIRP

ER -

Bearing signal separation of commercial helicopter main gearbox

Abstract

Access to Document

Other files and links

Fingerprint

Cite this