Data Adaptive Spectral Analysis of Unsteady Leakage Flow in an Axial Turbine

A data adaptive spectral analysis method is applied to characterize the unsteady loss generation in the leakage flow of an axial turbine. Unlike conventional spectral analysis, this method adapts a model dataset to the actual data. The method is illustrated from the analysis of the unsteady wall pre...

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Main Authors: Konstantinos G. Barmpalias, Ndaona Chokani, Anestis I. Kalfas, Reza S. Abhari
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:International Journal of Rotating Machinery
Online Access:http://dx.doi.org/10.1155/2012/121695
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author Konstantinos G. Barmpalias
Ndaona Chokani
Anestis I. Kalfas
Reza S. Abhari
author_facet Konstantinos G. Barmpalias
Ndaona Chokani
Anestis I. Kalfas
Reza S. Abhari
author_sort Konstantinos G. Barmpalias
collection DOAJ
description A data adaptive spectral analysis method is applied to characterize the unsteady loss generation in the leakage flow of an axial turbine. Unlike conventional spectral analysis, this method adapts a model dataset to the actual data. The method is illustrated from the analysis of the unsteady wall pressures in the labyrinth seal of an axial turbine. Spectra from the method are shown to be in good agreement with conventional spectral estimates. Furthermore, the spectra using the method are obtained with data records that are 16 times shorter than for conventional spectral analysis, indicating that the unsteady processes in turbomachines can be studied with substantially shorter measurement schedules than is presently the norm.
format Article
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institution Kabale University
issn 1023-621X
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language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series International Journal of Rotating Machinery
spelling doaj-art-24d9ebfecc034f82bc1d794b985514d42025-02-03T01:20:12ZengWileyInternational Journal of Rotating Machinery1023-621X1542-30342012-01-01201210.1155/2012/121695121695Data Adaptive Spectral Analysis of Unsteady Leakage Flow in an Axial TurbineKonstantinos G. Barmpalias0Ndaona Chokani1Anestis I. Kalfas2Reza S. Abhari3Laboratory for Energy Conversion (LEC), Swiss Federal Institute of Technology, ETH Zurich, 8092 Zurich, SwitzerlandLaboratory for Energy Conversion (LEC), Swiss Federal Institute of Technology, ETH Zurich, 8092 Zurich, SwitzerlandDepartment of Mechanical Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, GreeceLaboratory for Energy Conversion (LEC), Swiss Federal Institute of Technology, ETH Zurich, 8092 Zurich, SwitzerlandA data adaptive spectral analysis method is applied to characterize the unsteady loss generation in the leakage flow of an axial turbine. Unlike conventional spectral analysis, this method adapts a model dataset to the actual data. The method is illustrated from the analysis of the unsteady wall pressures in the labyrinth seal of an axial turbine. Spectra from the method are shown to be in good agreement with conventional spectral estimates. Furthermore, the spectra using the method are obtained with data records that are 16 times shorter than for conventional spectral analysis, indicating that the unsteady processes in turbomachines can be studied with substantially shorter measurement schedules than is presently the norm.http://dx.doi.org/10.1155/2012/121695
spellingShingle Konstantinos G. Barmpalias
Ndaona Chokani
Anestis I. Kalfas
Reza S. Abhari
Data Adaptive Spectral Analysis of Unsteady Leakage Flow in an Axial Turbine
International Journal of Rotating Machinery
title Data Adaptive Spectral Analysis of Unsteady Leakage Flow in an Axial Turbine
title_full Data Adaptive Spectral Analysis of Unsteady Leakage Flow in an Axial Turbine
title_fullStr Data Adaptive Spectral Analysis of Unsteady Leakage Flow in an Axial Turbine
title_full_unstemmed Data Adaptive Spectral Analysis of Unsteady Leakage Flow in an Axial Turbine
title_short Data Adaptive Spectral Analysis of Unsteady Leakage Flow in an Axial Turbine
title_sort data adaptive spectral analysis of unsteady leakage flow in an axial turbine
url http://dx.doi.org/10.1155/2012/121695
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AT anestisikalfas dataadaptivespectralanalysisofunsteadyleakageflowinanaxialturbine
AT rezasabhari dataadaptivespectralanalysisofunsteadyleakageflowinanaxialturbine