Comparison between adaptive neurofuzzy inference system and general regression neural networks for gearbox fault detection using motor operating parameters

Mabrouka Baqqar; Van Tung Tran; Fengshou Gu; Andrew David Ball

Comparison between adaptive neurofuzzy inference system and general regression neural networks for gearbox fault detection using motor operating parameters

Mabrouka Baqqar, Van Tung Tran, Fengshou Gu, Andrew David Ball

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

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Original language	English
Title of host publication	Proceedings of Computing and Engineering Annual Researchers' Conference 2013
Subtitle of host publication	CEARC'13, University of Huddersfield, Huddersfield
Publisher	University of Huddersfield
Pages	118‐126
ISBN (Print)	9781862181212
Publication status	Published - 2013
Externally published	Yes
Event	Computing and Engineering Researchers' Conference, CEARC 2013 - University of Huddersfield, Huddersfield, United Kingdom Duration: 1 Dec 2013 → 4 Dec 2013

Conference

Conference	Computing and Engineering Researchers' Conference, CEARC 2013
Abbreviated title	CEARC
Country/Territory	United Kingdom
City	Huddersfield
Period	1/12/13 → 4/12/13

Keywords

Gearbox fault detection
Static data
Adaptive neuro-fuzzy inference system
Neural networks

Access to Document

Baqqar2013comparisonFinal published version, 700 KB

Cite this

Baqqar, M., Tran, V. T., Gu, F., & Ball, A. D. (2013). Comparison between adaptive neurofuzzy inference system and general regression neural networks for gearbox fault detection using motor operating parameters. In Proceedings of Computing and Engineering Annual Researchers' Conference 2013: CEARC'13, University of Huddersfield, Huddersfield (pp. 118‐126). University of Huddersfield.

Baqqar, Mabrouka ; Tran, Van Tung ; Gu, Fengshou et al. / Comparison between adaptive neurofuzzy inference system and general regression neural networks for gearbox fault detection using motor operating parameters. Proceedings of Computing and Engineering Annual Researchers' Conference 2013: CEARC'13, University of Huddersfield, Huddersfield. University of Huddersfield, 2013. pp. 118‐126

@inproceedings{f82156dfd0c04df6bd0603f0d1d6a659,

title = "Comparison between adaptive neurofuzzy inference system and general regression neural networks for gearbox fault detection using motor operating parameters",

keywords = "Gearbox fault detection, Static data, Adaptive neuro-fuzzy inference system, Neural networks",

author = "Mabrouka Baqqar and Tran, {Van Tung} and Fengshou Gu and Ball, {Andrew David}",

year = "2013",

language = "English",

isbn = "9781862181212",

pages = "118‐126",

booktitle = "Proceedings of Computing and Engineering Annual Researchers' Conference 2013",

publisher = "University of Huddersfield",

address = "United Kingdom",

note = "Computing and Engineering Researchers' Conference, CEARC 2013, CEARC ; Conference date: 01-12-2013 Through 04-12-2013",

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Baqqar, M, Tran, VT, Gu, F & Ball, AD 2013, Comparison between adaptive neurofuzzy inference system and general regression neural networks for gearbox fault detection using motor operating parameters. in Proceedings of Computing and Engineering Annual Researchers' Conference 2013: CEARC'13, University of Huddersfield, Huddersfield. University of Huddersfield, pp. 118‐126, Computing and Engineering Researchers' Conference, CEARC 2013, Huddersfield, United Kingdom, 1/12/13.

Comparison between adaptive neurofuzzy inference system and general regression neural networks for gearbox fault detection using motor operating parameters. / Baqqar, Mabrouka; Tran, Van Tung; Gu, Fengshou et al.
Proceedings of Computing and Engineering Annual Researchers' Conference 2013: CEARC'13, University of Huddersfield, Huddersfield. University of Huddersfield, 2013. p. 118‐126.

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

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PY - 2013

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KW - Static data

KW - Adaptive neuro-fuzzy inference system

KW - Neural networks

M3 - Conference contribution

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BT - Proceedings of Computing and Engineering Annual Researchers' Conference 2013

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T2 - Computing and Engineering Researchers' Conference, CEARC 2013

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Baqqar M, Tran VT, Gu F, Ball AD. Comparison between adaptive neurofuzzy inference system and general regression neural networks for gearbox fault detection using motor operating parameters. In Proceedings of Computing and Engineering Annual Researchers' Conference 2013: CEARC'13, University of Huddersfield, Huddersfield. University of Huddersfield. 2013. p. 118‐126