Bladed Disk Crack Detection Through Advanced Analysis of Blade Passage Signals

Crack initiation and propagation in the bladed disks of aero-engines caused by high-cycle fatigue under cyclic loads could result in the breakdown of the engines if not detected at an early stage. Although a number of fault detection methods have been reported in the literature, it still remains ver...

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Bibliographic Details
Main Author: Alavifoumani, Elhamosadat
Other Authors: Liang, Ming
Language:en
Published: Université d'Ottawa / University of Ottawa 2013
Subjects:
Online Access:http://hdl.handle.net/10393/24170
http://dx.doi.org/10.20381/ruor-3011
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spelling ndltd-uottawa.ca-oai-ruor.uottawa.ca-10393-241702018-01-05T19:01:35Z Bladed Disk Crack Detection Through Advanced Analysis of Blade Passage Signals Alavifoumani, Elhamosadat Liang, Ming Liu, Jie crack detection turbo fan engine bladed disk signal processing wavelet analysis detrended fluctuation analysis feature extraction Crack initiation and propagation in the bladed disks of aero-engines caused by high-cycle fatigue under cyclic loads could result in the breakdown of the engines if not detected at an early stage. Although a number of fault detection methods have been reported in the literature, it still remains very challenging to develop a reliable online technique to accurately diagnose defects in bladed disks. One of the main challenges is to characterize signals contaminated by noises. These noises caused by very dynamic engine operation environment. This work presents a new technique for engine bladed disk crack detection, which utilizes advanced analysis of clearance and time-of-arrival signals acquired from blade tip sensors. This technique involves two stages of signal processing: 1) signal pre-processing for noise elimination from predetermined causes; and 2) signal post-processing for characterizing crack initiation and location. Experimental results from the spin rig test were used to validate technique predictions. 2013-05-14T20:32:34Z 2013-05-14T20:32:34Z 2013 2013 Thesis http://hdl.handle.net/10393/24170 http://dx.doi.org/10.20381/ruor-3011 en Université d'Ottawa / University of Ottawa
collection NDLTD
language en
sources NDLTD
topic crack detection
turbo fan engine
bladed disk
signal processing
wavelet analysis
detrended fluctuation analysis
feature extraction
spellingShingle crack detection
turbo fan engine
bladed disk
signal processing
wavelet analysis
detrended fluctuation analysis
feature extraction
Alavifoumani, Elhamosadat
Bladed Disk Crack Detection Through Advanced Analysis of Blade Passage Signals
description Crack initiation and propagation in the bladed disks of aero-engines caused by high-cycle fatigue under cyclic loads could result in the breakdown of the engines if not detected at an early stage. Although a number of fault detection methods have been reported in the literature, it still remains very challenging to develop a reliable online technique to accurately diagnose defects in bladed disks. One of the main challenges is to characterize signals contaminated by noises. These noises caused by very dynamic engine operation environment. This work presents a new technique for engine bladed disk crack detection, which utilizes advanced analysis of clearance and time-of-arrival signals acquired from blade tip sensors. This technique involves two stages of signal processing: 1) signal pre-processing for noise elimination from predetermined causes; and 2) signal post-processing for characterizing crack initiation and location. Experimental results from the spin rig test were used to validate technique predictions.
author2 Liang, Ming
author_facet Liang, Ming
Alavifoumani, Elhamosadat
author Alavifoumani, Elhamosadat
author_sort Alavifoumani, Elhamosadat
title Bladed Disk Crack Detection Through Advanced Analysis of Blade Passage Signals
title_short Bladed Disk Crack Detection Through Advanced Analysis of Blade Passage Signals
title_full Bladed Disk Crack Detection Through Advanced Analysis of Blade Passage Signals
title_fullStr Bladed Disk Crack Detection Through Advanced Analysis of Blade Passage Signals
title_full_unstemmed Bladed Disk Crack Detection Through Advanced Analysis of Blade Passage Signals
title_sort bladed disk crack detection through advanced analysis of blade passage signals
publisher Université d'Ottawa / University of Ottawa
publishDate 2013
url http://hdl.handle.net/10393/24170
http://dx.doi.org/10.20381/ruor-3011
work_keys_str_mv AT alavifoumanielhamosadat bladeddiskcrackdetectionthroughadvancedanalysisofbladepassagesignals
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