Article

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

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CIARP'07: Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications

Pages 61 - 70

Published: 13 November 2007 Publication History

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.

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Cited By

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Napolitano A(2016)CyclostationaritySignal Processing10.1016/j.sigpro.2015.09.011120:C(385-408)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.sigpro.2015.09.011
Moshou DKateris DSawalhi NLoutridis SGravalos I(2010)Fault severity estimation in rotating mechanical systems using feature based fusion and self-organizing mapsProceedings of the 20th international conference on Artificial neural networks: Part II10.5555/1889001.1889056(410-413)Online publication date: 15-Sep-2010
https://dl.acm.org/doi/10.5555/1889001.1889056

A cyclostationary analysis applied to detection and diagnosis of faults in helicopter gearboxes
1. Hardware
  1. Communication hardware, interfaces and storage

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Published In

CIARP'07: Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications

November 2007

967 pages

ISBN:354076724X

Editors:
Luis Rueda
Universidad de Concepción, Chile, Department of Computer Science
,
Domingo Mery
Pontificia Universidad Católica de Chile, Department of Computer Science, Santiago, Chile
,
Josef Kittler
University of Surrey, Department of Electronic Engineering, Guildford, UK

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 13 November 2007

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Cited By

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Napolitano A(2016)CyclostationaritySignal Processing10.1016/j.sigpro.2015.09.011120:C(385-408)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.sigpro.2015.09.011
Moshou DKateris DSawalhi NLoutridis SGravalos I(2010)Fault severity estimation in rotating mechanical systems using feature based fusion and self-organizing mapsProceedings of the 20th international conference on Artificial neural networks: Part II10.5555/1889001.1889056(410-413)Online publication date: 15-Sep-2010
https://dl.acm.org/doi/10.5555/1889001.1889056

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