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Main Author: J. Kubiak S.
Format: Artículo científico
Language:en
Published: Instituto Politécnico Nacional 2005
Subjects:
Online Access:https://www.redalyc.org/articulo.oa?id=61490202
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author J. Kubiak S.
author_facet J. Kubiak S.
contents Hybrid fault patterns for the diagnosis of gas turbine component degradation J. Kubiak S. G. González R A. García G. J. Gómez Mancilla G. Urquiza B. Ingeniería A degree of wearing out or scaling of the internal components(blading, seals, etc.) can be estimated analyzing the efficiencyof the turbo compressor [1]. The wearing out or deposits on theblade or seal deterioration affects the efficiency of the machinewhich in turn compared to a reference data permits to identifyfaulty components or a group of components and a degree oftheir deterioration [2]. However a precision of this identificationcan be improved involving vibration analysis. It is important tomake this identification on line thus facilitating constructing anappropriate plan for a major overhaul.On the other hand, wearing out of the blades changes theirnatural frequencies and vibration spectrum; sealsdeterioration are caused by excessive rotor vibration or casingdistortion mostly during start-ups. Analyzingsimultaneously the efficiency and vibrations the faults andtheir locations can be identified more precisely.An algorithm for identification of some faults of the gas turbineusing hybrid patterns (efficiency & vibration) is developed. 2005 artículo científico 1665-0654 https://www.redalyc.org/articulo.oa?id=61490202 en http://www.redalyc.org/revista.oa?id=614 Científica application/pdf Instituto Politécnico Nacional Científica (México) Num.2 Vol.9
format Artículo científico
id redalyc_61490202
language en
publishDate 2005
publisher Instituto Politécnico Nacional
spellingShingle Hybrid fault patterns for the diagnosis of gas turbine component degradation
J. Kubiak S.
Ingeniería
Hybrid fault patterns for the diagnosis of gas turbine component degradation J. Kubiak S. G. González R A. García G. J. Gómez Mancilla G. Urquiza B. Ingeniería A degree of wearing out or scaling of the internal components(blading, seals, etc.) can be estimated analyzing the efficiencyof the turbo compressor [1]. The wearing out or deposits on theblade or seal deterioration affects the efficiency of the machinewhich in turn compared to a reference data permits to identifyfaulty components or a group of components and a degree oftheir deterioration [2]. However a precision of this identificationcan be improved involving vibration analysis. It is important tomake this identification on line thus facilitating constructing anappropriate plan for a major overhaul.On the other hand, wearing out of the blades changes theirnatural frequencies and vibration spectrum; sealsdeterioration are caused by excessive rotor vibration or casingdistortion mostly during start-ups. Analyzingsimultaneously the efficiency and vibrations the faults andtheir locations can be identified more precisely.An algorithm for identification of some faults of the gas turbineusing hybrid patterns (efficiency & vibration) is developed. 2005 artículo científico 1665-0654 https://www.redalyc.org/articulo.oa?id=61490202 en http://www.redalyc.org/revista.oa?id=614 Científica application/pdf Instituto Politécnico Nacional Científica (México) Num.2 Vol.9
title Hybrid fault patterns for the diagnosis of gas turbine component degradation
topic Ingeniería
url https://www.redalyc.org/articulo.oa?id=61490202