An expert system aided method of the blade vibration sources identification with blade-tip timing (BTT) signal decomposition

An expert system aided method of the blade vibration sources identification with blade-tip timing (BTT) signal decomposition

An expert system aided method of the blade-tip signal decomposition to the turbine blade vibration sources identification is presented. The method utilises a multi-valued diagnostic model based on the discrete wavelet transform. Proposed algorithm consists of four stages: signal decomposition into l...

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Bibliographic Details
Main Authors: Borowczyk Henryk, Rokicki Edward, Spychała Jarosław
Format: Article
Language:English
Published: Sciendo 2018-12-01
Series:Journal of KONBiN
Subjects:
blade-tip timing
multi-valued diagnostic-decision model
wavelet transform
signal parameterization
multi-valued encoding
Online Access:https://doi.org/10.2478/jok-2018-0059
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spelling doaj-7fb0ad63dddb45efba46b655fbebd4fb2021-09-06T19:41:43ZengSciendoJournal of KONBiN2083-46082018-12-0148134135810.2478/jok-2018-0059jok-2018-0059An expert system aided method of the blade vibration sources identification with blade-tip timing (BTT) signal decompositionBorowczyk Henryk0Rokicki Edward1Spychała Jarosław2Air Force Institute of TechnologyAir Force Institute of TechnologyAir Force Institute of TechnologyAn expert system aided method of the blade-tip signal decomposition to the turbine blade vibration sources identification is presented. The method utilises a multi-valued diagnostic model based on the discrete wavelet transform. Proposed algorithm consists of four stages: signal decomposition into low- and high-frequency components (approximations and details), approximations and details parameterization, multi-valued encoding of parameters obtained at the second stage, an expert system use of the turbine blade vibration sources identification.https://doi.org/10.2478/jok-2018-0059blade-tip timingmulti-valued diagnostic-decision modelwavelet transformsignal parameterizationmulti-valued encoding
collection DOAJ
language English
format Article
sources DOAJ
author Borowczyk Henryk
Rokicki Edward
Spychała Jarosław
spellingShingle Borowczyk Henryk
Rokicki Edward
Spychała Jarosław
An expert system aided method of the blade vibration sources identification with blade-tip timing (BTT) signal decomposition
Journal of KONBiN
blade-tip timing
multi-valued diagnostic-decision model
wavelet transform
signal parameterization
multi-valued encoding
author_facet Borowczyk Henryk
Rokicki Edward
Spychała Jarosław
author_sort Borowczyk Henryk
title An expert system aided method of the blade vibration sources identification with blade-tip timing (BTT) signal decomposition
title_short An expert system aided method of the blade vibration sources identification with blade-tip timing (BTT) signal decomposition
title_full An expert system aided method of the blade vibration sources identification with blade-tip timing (BTT) signal decomposition
title_fullStr An expert system aided method of the blade vibration sources identification with blade-tip timing (BTT) signal decomposition
title_full_unstemmed An expert system aided method of the blade vibration sources identification with blade-tip timing (BTT) signal decomposition
title_sort expert system aided method of the blade vibration sources identification with blade-tip timing (btt) signal decomposition
publisher Sciendo
series Journal of KONBiN
issn 2083-4608
publishDate 2018-12-01
description An expert system aided method of the blade-tip signal decomposition to the turbine blade vibration sources identification is presented. The method utilises a multi-valued diagnostic model based on the discrete wavelet transform. Proposed algorithm consists of four stages: signal decomposition into low- and high-frequency components (approximations and details), approximations and details parameterization, multi-valued encoding of parameters obtained at the second stage, an expert system use of the turbine blade vibration sources identification.
topic blade-tip timing
multi-valued diagnostic-decision model
wavelet transform
signal parameterization
multi-valued encoding
url https://doi.org/10.2478/jok-2018-0059
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