Pitting detection in worm gearboxes with vibration analysis

F. Elasha; C. Ruiz-Cárcel; D. Mba; G. Kiat; I. Nze; G. Yebra

doi:10.1016/j.engfailanal.2014.04.028

Pitting detection in worm gearboxes with vibration analysis

F. Elasha, C. Ruiz-Cárcel, D. Mba, G. Kiat, I. Nze, G. Yebra

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

58 Citations (Scopus)

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Abstract

Diagnostics of worm gear defects with vibration analysis is challenging and this is reflected in the limited number of publications. However, these gears are commonly used in many applications such as escalators, mills, and conveyors, and significant cost may arise from their down time due to unidentified defects. This paper aims to apply various vibration analysis techniques to diagnose the presence of naturally developed faults within worm gearboxes.

The condition of three different worm gearboxes were assessed using various vibration signal analysis techniques including a few statistical measures, Spectral Kurtosis and enveloping. This was undertaken in an attempt to identify the presence of defects within the worm gearboxes. It is shown that irrespective of the predominantly sliding motion of the gears, diagnosis of faults is feasible as long as the appropriate analysis technique is employed. In addition the results show sensitivity to the direction of vibration measurement.

Original language	English
Pages (from-to)	366-376
Number of pages	11
Journal	Engineering Failure Analysis
Volume	42
Early online date	1 May 2014
DOIs	https://doi.org/10.1016/j.engfailanal.2014.04.028 https://doi.org/10.1016/j.engfailanal.2014.04.028
Publication status	Published - Jul 2014
Externally published	Yes

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Engineering Failure Analysis. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Engineering Failure Analysis [Vol 42 (2014)] DOI: 10.1016/j.engfailanal.2014.04.028.
© 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license http://creativecommons.org/licenses/by-nc-nd/4.0/ .

Keywords

Worm gearboxes diagnostics
Vibration
Spectral Kurtosis

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Pitting detection

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title = "Pitting detection in worm gearboxes with vibration analysis",

abstract = "Diagnostics of worm gear defects with vibration analysis is challenging and this is reflected in the limited number of publications. However, these gears are commonly used in many applications such as escalators, mills, and conveyors, and significant cost may arise from their down time due to unidentified defects. This paper aims to apply various vibration analysis techniques to diagnose the presence of naturally developed faults within worm gearboxes.The condition of three different worm gearboxes were assessed using various vibration signal analysis techniques including a few statistical measures, Spectral Kurtosis and enveloping. This was undertaken in an attempt to identify the presence of defects within the worm gearboxes. It is shown that irrespective of the predominantly sliding motion of the gears, diagnosis of faults is feasible as long as the appropriate analysis technique is employed. In addition the results show sensitivity to the direction of vibration measurement.",

keywords = "Worm gearboxes diagnostics, Vibration, Spectral Kurtosis",

author = "F. Elasha and C. Ruiz-C{\'a}rcel and D. Mba and G. Kiat and I. Nze and G. Yebra",

note = "NOTICE: this is the author{\textquoteright}s version of a work that was accepted for publication in Engineering Failure Analysis. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Engineering Failure Analysis [Vol 42 (2014)] DOI: 10.1016/j.engfailanal.2014.04.028. {\textcopyright} 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license http://creativecommons.org/licenses/by-nc-nd/4.0/ .",

year = "2014",

month = jul,

doi = "10.1016/j.engfailanal.2014.04.028",

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AU - Elasha, F.

AU - Ruiz-Cárcel, C.

AU - Mba, D.

AU - Kiat, G.

AU - Nze, I.

AU - Yebra, G.

N1 - NOTICE: this is the author’s version of a work that was accepted for publication in Engineering Failure Analysis. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Engineering Failure Analysis [Vol 42 (2014)] DOI: 10.1016/j.engfailanal.2014.04.028. © 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license http://creativecommons.org/licenses/by-nc-nd/4.0/ .

PY - 2014/7

Y1 - 2014/7

N2 - Diagnostics of worm gear defects with vibration analysis is challenging and this is reflected in the limited number of publications. However, these gears are commonly used in many applications such as escalators, mills, and conveyors, and significant cost may arise from their down time due to unidentified defects. This paper aims to apply various vibration analysis techniques to diagnose the presence of naturally developed faults within worm gearboxes.The condition of three different worm gearboxes were assessed using various vibration signal analysis techniques including a few statistical measures, Spectral Kurtosis and enveloping. This was undertaken in an attempt to identify the presence of defects within the worm gearboxes. It is shown that irrespective of the predominantly sliding motion of the gears, diagnosis of faults is feasible as long as the appropriate analysis technique is employed. In addition the results show sensitivity to the direction of vibration measurement.

AB - Diagnostics of worm gear defects with vibration analysis is challenging and this is reflected in the limited number of publications. However, these gears are commonly used in many applications such as escalators, mills, and conveyors, and significant cost may arise from their down time due to unidentified defects. This paper aims to apply various vibration analysis techniques to diagnose the presence of naturally developed faults within worm gearboxes.The condition of three different worm gearboxes were assessed using various vibration signal analysis techniques including a few statistical measures, Spectral Kurtosis and enveloping. This was undertaken in an attempt to identify the presence of defects within the worm gearboxes. It is shown that irrespective of the predominantly sliding motion of the gears, diagnosis of faults is feasible as long as the appropriate analysis technique is employed. In addition the results show sensitivity to the direction of vibration measurement.

KW - Worm gearboxes diagnostics

KW - Vibration

KW - Spectral Kurtosis

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VL - 42

SP - 366

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JO - Engineering Failure Analysis

JF - Engineering Failure Analysis

ER -

Pitting detection in worm gearboxes with vibration analysis

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Faris Elasha

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Pitting detection in worm gearboxes with vibration analysis

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Bibliographical note

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Faris Elasha

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