Using independent component analysis scheme for helicopter main gearbox bearing defect identification

Fang Duan; Michael Corsar; Linghao Zhou; David Mba

doi:10.1109/ICPHM.2017.7998337

Using independent component analysis scheme for helicopter main gearbox bearing defect identification

Fang Duan^*, Michael Corsar, Linghao Zhou, David Mba

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Original language	English
Title of host publication	2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	252-259
Number of pages	8
ISBN (Electronic)	9781509057108
DOIs	https://doi.org/10.1109/ICPHM.2017.7998337
Publication status	Published (VoR) - 31 Jul 2017
Event	2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017 - Dallas, United States Duration: 19 Jun 2017 → 21 Jun 2017

Publication series

Name	2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017

Conference

Conference	2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017
Country/Territory	United States
City	Dallas
Period	19/06/17 → 21/06/17

Keywords

bearing defect
fault diagnosis
Helicopter main gearbox
independent component analysis

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10.1109/ICPHM.2017.7998337

Cite this

Duan, F., Corsar, M., Zhou, L., & Mba, D. (2017). Using independent component analysis scheme for helicopter main gearbox bearing defect identification. In 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017 (pp. 252-259). Article 7998337 (2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPHM.2017.7998337

Duan, Fang ; Corsar, Michael ; Zhou, Linghao et al. / Using independent component analysis scheme for helicopter main gearbox bearing defect identification. 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 252-259 (2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017).

@inproceedings{5261229ced2f4c3289e98fdcc63163c7,

title = "Using independent component analysis scheme for helicopter main gearbox bearing defect identification",

keywords = "bearing defect, fault diagnosis, Helicopter main gearbox, independent component analysis",

author = "Fang Duan and Michael Corsar and Linghao Zhou and David Mba",

note = "Funding Information: The research is conducted under the project contract European Aviation Safety Agency (EASA), EASA.2014.OP.15, entitled “MGH - HELICOPTER MAIN GEARBOX HEALTH”. Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017 ; Conference date: 19-06-2017 Through 21-06-2017",

year = "2017",

month = jul,

day = "31",

doi = "10.1109/ICPHM.2017.7998337",

language = "English",

series = "2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "252--259",

booktitle = "2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017",

}

Duan, F, Corsar, M, Zhou, L & Mba, D 2017, Using independent component analysis scheme for helicopter main gearbox bearing defect identification. in 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017., 7998337, 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017, Institute of Electrical and Electronics Engineers Inc., pp. 252-259, 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017, Dallas, United States, 19/06/17. https://doi.org/10.1109/ICPHM.2017.7998337

Using independent component analysis scheme for helicopter main gearbox bearing defect identification. / Duan, Fang; Corsar, Michael; Zhou, Linghao et al.
2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 252-259 7998337 (2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Using independent component analysis scheme for helicopter main gearbox bearing defect identification

AU - Duan, Fang

AU - Corsar, Michael

AU - Zhou, Linghao

AU - Mba, David

N1 - Funding Information: The research is conducted under the project contract European Aviation Safety Agency (EASA), EASA.2014.OP.15, entitled “MGH - HELICOPTER MAIN GEARBOX HEALTH”. Publisher Copyright: © 2017 IEEE.

PY - 2017/7/31

Y1 - 2017/7/31

KW - bearing defect

KW - fault diagnosis

KW - Helicopter main gearbox

KW - independent component analysis

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UR - http://www.scopus.com/inward/citedby.url?scp=85028572521&partnerID=8YFLogxK

U2 - 10.1109/ICPHM.2017.7998337

DO - 10.1109/ICPHM.2017.7998337

M3 - Conference contribution

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T3 - 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017

SP - 252

EP - 259

BT - 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017

Y2 - 19 June 2017 through 21 June 2017

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Duan F, Corsar M, Zhou L, Mba D. Using independent component analysis scheme for helicopter main gearbox bearing defect identification. In 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 252-259. 7998337. (2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017). doi: 10.1109/ICPHM.2017.7998337

Using independent component analysis scheme for helicopter main gearbox bearing defect identification

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