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Research on diagnosing the gearbox faults based on near field acoustic holography

Research on diagnosing the gearbox faults based on near field acoustic holography
Research on diagnosing the gearbox faults based on near field acoustic holography
The fault diagnosis of gearboxes was developed for some decades. The current diagnosing techniques were mostly based on analyzing the vibration signal of shell especially close to the bearing seat of gearbox. In order to utilize the spatial distribution information of fault signal, the near field acoustic holography (NAH) is employed for the condition monitoring and fault diagnosis of the gearbox in this presentation. The distribution images of sound pressure on the surface of gearbox are reconstructed by NAH, and the feature extraction and pattern recognition can be made by image processing techniques. A gearbox is studied in a semi-anechoic chamber to verify the fault diagnosis technique based on NAH. The pitting and partial broken teeth of gears are artificially made respectively as fault statuses, and the differences of acoustic images among normal and fault working states under the idling condition are analyzed. It can be found that the acoustic images of gearbox in three different situations change regularly, and the main sound sources can be recognized from the acoustic images which also contain rich diagnosis information. After feature extraction of the acoustic images, the pattern reorganization technique is employed for diagnosis. The results indicate that this diagnosis procedure based on acoustic images is available and feasible for the gearbox fault diagnosis.
Jiang, W.K.
47321b8c-3981-4ba2-9045-f361fc32a8f0
Hou, J.J.
fd6fe53e-52bc-4b7c-893a-1f938323cf83
Xing, J.T.
d4fe7ae0-2668-422a-8d89-9e66527835ce
Jiang, W.K.
47321b8c-3981-4ba2-9045-f361fc32a8f0
Hou, J.J.
fd6fe53e-52bc-4b7c-893a-1f938323cf83
Xing, J.T.
d4fe7ae0-2668-422a-8d89-9e66527835ce

Jiang, W.K., Hou, J.J. and Xing, J.T. (2011) Research on diagnosing the gearbox faults based on near field acoustic holography. 9th International Conference on Damage Assessent of Structures, , Oxford, United Kingdom. 10 - 12 Jul 2011. 8 pp . (Submitted)

Record type: Conference or Workshop Item (Paper)

Abstract

The fault diagnosis of gearboxes was developed for some decades. The current diagnosing techniques were mostly based on analyzing the vibration signal of shell especially close to the bearing seat of gearbox. In order to utilize the spatial distribution information of fault signal, the near field acoustic holography (NAH) is employed for the condition monitoring and fault diagnosis of the gearbox in this presentation. The distribution images of sound pressure on the surface of gearbox are reconstructed by NAH, and the feature extraction and pattern recognition can be made by image processing techniques. A gearbox is studied in a semi-anechoic chamber to verify the fault diagnosis technique based on NAH. The pitting and partial broken teeth of gears are artificially made respectively as fault statuses, and the differences of acoustic images among normal and fault working states under the idling condition are analyzed. It can be found that the acoustic images of gearbox in three different situations change regularly, and the main sound sources can be recognized from the acoustic images which also contain rich diagnosis information. After feature extraction of the acoustic images, the pattern reorganization technique is employed for diagnosis. The results indicate that this diagnosis procedure based on acoustic images is available and feasible for the gearbox fault diagnosis.

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More information

Submitted date: 2011
Venue - Dates: 9th International Conference on Damage Assessent of Structures, , Oxford, United Kingdom, 2011-07-10 - 2011-07-12
Organisations: Fluid Structure Interactions Group

Identifiers

Local EPrints ID: 177285
URI: http://eprints.soton.ac.uk/id/eprint/177285
PURE UUID: 65abebaf-2ac7-487f-b048-e9538e0f1d48

Catalogue record

Date deposited: 16 Mar 2011 13:39
Last modified: 10 Dec 2021 18:56

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Contributors

Author: W.K. Jiang
Author: J.J. Hou
Author: J.T. Xing

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