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A cyclostationary analysis applied to detection and diagnosis of faults in helicopter gearboxes

A cyclostationary analysis applied to detection and diagnosis of faults in helicopter gearboxes
A cyclostationary analysis applied to detection and diagnosis of faults in helicopter gearboxes
In several cases the vibration signals generated by rotating machines can be modeled as cyclostationary processes. A cyclostationary process is defined as a non-stationary process which has a periodic time variation in some of its statistics, and which can be characterized in terms of its order of periodicity. This study is focused on the use of cyclic spectral analysis, as a tool to analyze second-order periodicity signals (SOP), such as, those who are generated by either localized or distributed defects in bearings. Cyclic spectral analysis mainly consists of the estimation of the random aspects as well as the periodic behavior of a vibration signal, based on estimation of the spectral correlation density. The usefulness of cyclic spectral analysis for the condition monitoring of bearings, is demonstrated in this paper, through the analysis of several sections of vibration data collected during an endurance test of one of the two main gearbox transmissions of a helicopter.
Most of this work was carried out at the ISVR of University of Southampton, funded with a grant from the Marie Curie Host Fellowships for Early Stage Research Training. The authors gratefully acknowledge the help of William Hardman who supplied the test bed data from H-60 tests conducted at the U. S. Navy’s Helicopter Transmission Test Facility located at Patuxent River, Maryland and of Sally McInnery, University of Alabama.
signal processing, condition monitoring, vibration analysis, cyclostationarity
9783540767244
61-70
Springer
Estupiñan, E.A.
62794266-0624-433d-b6e9-4ab6eaae38eb
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
San Martin, César
60d7cd66-9349-46ea-a4d8-c07fc1727ee5
Rueda, L.
Mery, D.
Kittler, J.
Estupiñan, E.A.
62794266-0624-433d-b6e9-4ab6eaae38eb
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
San Martin, César
60d7cd66-9349-46ea-a4d8-c07fc1727ee5
Rueda, L.
Mery, D.
Kittler, J.

Estupiñan, E.A., White, P.R. and San Martin, César (2008) A cyclostationary analysis applied to detection and diagnosis of faults in helicopter gearboxes. Rueda, L., Mery, D. and Kittler, J. (eds.) In Progress in Pattern Recognition, Image Analysis and Applications. Proceedings of the 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Valpariso, Chile 13-16 November 2007. vol. 4756, Springer. pp. 61-70 . (doi:10.1007/978-3-540-76725-1_7).

Record type: Conference or Workshop Item (Paper)

Abstract

In several cases the vibration signals generated by rotating machines can be modeled as cyclostationary processes. A cyclostationary process is defined as a non-stationary process which has a periodic time variation in some of its statistics, and which can be characterized in terms of its order of periodicity. This study is focused on the use of cyclic spectral analysis, as a tool to analyze second-order periodicity signals (SOP), such as, those who are generated by either localized or distributed defects in bearings. Cyclic spectral analysis mainly consists of the estimation of the random aspects as well as the periodic behavior of a vibration signal, based on estimation of the spectral correlation density. The usefulness of cyclic spectral analysis for the condition monitoring of bearings, is demonstrated in this paper, through the analysis of several sections of vibration data collected during an endurance test of one of the two main gearbox transmissions of a helicopter.
Most of this work was carried out at the ISVR of University of Southampton, funded with a grant from the Marie Curie Host Fellowships for Early Stage Research Training. The authors gratefully acknowledge the help of William Hardman who supplied the test bed data from H-60 tests conducted at the U. S. Navy’s Helicopter Transmission Test Facility located at Patuxent River, Maryland and of Sally McInnery, University of Alabama.

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More information

Published date: 2008
Additional Information: ISSN 0302-9743
Venue - Dates: 12th Iberoamerican Congress on Pattern Recognition (CIARP 2007), Valpariso, Chile, 2007-11-13 - 2007-11-16
Keywords: signal processing, condition monitoring, vibration analysis, cyclostationarity

Identifiers

Local EPrints ID: 51041
URI: http://eprints.soton.ac.uk/id/eprint/51041
ISBN: 9783540767244
PURE UUID: caa97bf6-f138-4b02-a1e9-ddede01a7eaa
ORCID for P.R. White: ORCID iD orcid.org/0000-0002-4787-8713

Catalogue record

Date deposited: 07 May 2008
Last modified: 16 Mar 2024 02:39

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Contributors

Author: E.A. Estupiñan
Author: P.R. White ORCID iD
Author: César San Martin
Editor: L. Rueda
Editor: D. Mery
Editor: J. Kittler

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