Rotor Blades Diagnosis Method Based on Differences in Phase Shifts

In this work, an innovative diagnosis method of rotor blades is presented. A measurement signal of blade tip displacement is divided into two observation zones, in which two peaks of an additional template signal are introduced. Cross-correlation and power spectral density functions of the measureme...

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Main Authors: Rafał Grądzki, Paweł Lindstedt, Zbigniew Kulesza, Błażej Bartoszewicz
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2018/9134607
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author Rafał Grądzki
Paweł Lindstedt
Zbigniew Kulesza
Błażej Bartoszewicz
author_facet Rafał Grądzki
Paweł Lindstedt
Zbigniew Kulesza
Błażej Bartoszewicz
author_sort Rafał Grądzki
collection DOAJ
description In this work, an innovative diagnosis method of rotor blades is presented. A measurement signal of blade tip displacement is divided into two observation zones, in which two peaks of an additional template signal are introduced. Cross-correlation and power spectral density functions of the measurement and template signals in these two distinct zones are calculated. Next, the phase shift between the two cross-correlation functions is obtained by calculating the ratio of the two power spectral density functions. The changes in parameters of an analytical description of this phase shift are used to determine a distinct and easy-to-analyze image of the technical condition of the tested blade. A graphical portrait indicating the technical condition of all blades in the annulus is developed. Although not directly measured, environmental signals (e.g., external disturbances and sensor’s noise) affecting the diagnostic process are included in the method. It is demonstrated that, by using the proposed signal processing technique, a negative influence of these disturbances is eliminated and the reliability of the machine technical condition indications is improved. The approach is demonstrated using experimental results of turbine engine blade displacements. High effectiveness of the method and measurement equipment has been confirmed in a wide range of analyzed tip-timing results obtained in different periods of the measurement process.
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id doaj-art-831d568d22c342aa95e21803e4b97fb6
institution Kabale University
issn 1070-9622
1875-9203
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-831d568d22c342aa95e21803e4b97fb62025-02-03T01:06:54ZengWileyShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/91346079134607Rotor Blades Diagnosis Method Based on Differences in Phase ShiftsRafał Grądzki0Paweł Lindstedt1Zbigniew Kulesza2Błażej Bartoszewicz3Faculty of Mechanical Engineering, Bialystok University of Technology, Wiejska 45C, 15-351 Bialystok, PolandAir Force Institute of Technology, Ksiecia Boleslawa 6A, 01-494 Warsaw, PolandFaculty of Mechanical Engineering, Bialystok University of Technology, Wiejska 45C, 15-351 Bialystok, PolandFaculty of Mechanical Engineering, Bialystok University of Technology, Wiejska 45C, 15-351 Bialystok, PolandIn this work, an innovative diagnosis method of rotor blades is presented. A measurement signal of blade tip displacement is divided into two observation zones, in which two peaks of an additional template signal are introduced. Cross-correlation and power spectral density functions of the measurement and template signals in these two distinct zones are calculated. Next, the phase shift between the two cross-correlation functions is obtained by calculating the ratio of the two power spectral density functions. The changes in parameters of an analytical description of this phase shift are used to determine a distinct and easy-to-analyze image of the technical condition of the tested blade. A graphical portrait indicating the technical condition of all blades in the annulus is developed. Although not directly measured, environmental signals (e.g., external disturbances and sensor’s noise) affecting the diagnostic process are included in the method. It is demonstrated that, by using the proposed signal processing technique, a negative influence of these disturbances is eliminated and the reliability of the machine technical condition indications is improved. The approach is demonstrated using experimental results of turbine engine blade displacements. High effectiveness of the method and measurement equipment has been confirmed in a wide range of analyzed tip-timing results obtained in different periods of the measurement process.http://dx.doi.org/10.1155/2018/9134607
spellingShingle Rafał Grądzki
Paweł Lindstedt
Zbigniew Kulesza
Błażej Bartoszewicz
Rotor Blades Diagnosis Method Based on Differences in Phase Shifts
Shock and Vibration
title Rotor Blades Diagnosis Method Based on Differences in Phase Shifts
title_full Rotor Blades Diagnosis Method Based on Differences in Phase Shifts
title_fullStr Rotor Blades Diagnosis Method Based on Differences in Phase Shifts
title_full_unstemmed Rotor Blades Diagnosis Method Based on Differences in Phase Shifts
title_short Rotor Blades Diagnosis Method Based on Differences in Phase Shifts
title_sort rotor blades diagnosis method based on differences in phase shifts
url http://dx.doi.org/10.1155/2018/9134607
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AT pawełlindstedt rotorbladesdiagnosismethodbasedondifferencesinphaseshifts
AT zbigniewkulesza rotorbladesdiagnosismethodbasedondifferencesinphaseshifts
AT błazejbartoszewicz rotorbladesdiagnosismethodbasedondifferencesinphaseshifts