Diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis

Blade faults detection under field conditions is often conducted using vibration spectrum analysis. However, this method is inherently less effective for blade faults diagnosis and classification due to information loss during signal transformation. This paper intents to explore more detailed vibrat...

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Main Authors:	Lim, Meng Hee, Leong, Mohd Salman, Inayat-Hussain, J. I., Ngui, Wai Keng
Format:	Article
Language:	English
Published:	Krishtel eMaging Solutions 2015
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/24277/ http://umpir.ump.edu.my/id/eprint/24277/1/Diagnosis%20of%20blade%20fault%20based%20on%20wavelet%20scalogram%20and%20blade%20pass%20vibration%20signature%20analysis.pdf

id	ump-24277
recordtype	eprints
spelling	ump-242772019-03-18T02:06:49Z http://umpir.ump.edu.my/id/eprint/24277/ Diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis Lim, Meng Hee Leong, Mohd Salman Inayat-Hussain, J. I. Ngui, Wai Keng TJ Mechanical engineering and machinery Blade faults detection under field conditions is often conducted using vibration spectrum analysis. However, this method is inherently less effective for blade faults diagnosis and classification due to information loss during signal transformation. This paper intents to explore more detailed vibration analysis methods to address this shortfall. A hybrid method which comprised of Rotor Dynamic Wavelet Scalogram (RDWS) and Blade Pass Vibration Signature (BPVS) analysis were thus formulated. An experimental study was conducted to validate the viability of the proposed hybrid method. Experimental results showed that RDWS offers a new perspective to envisage the different mechanisms of blade faults in the rotor (i.e. creep and rotor eccentricity induced rubbings) and thus enable blade faults classification to be undertaken. Meanwhile, BPVS analysis provides a quantitative approach to diagnose blade faults (i.e. to estimate the quantity and position of faulty blades) and to determine its severity. The hybrid method provides a more comprehensive tool to diagnose different types of blade faults via both qualitative and quantitative approaches, which could be used to complement the shortfall of vibration spectrum analysis. Krishtel eMaging Solutions 2015-08 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24277/1/Diagnosis%20of%20blade%20fault%20based%20on%20wavelet%20scalogram%20and%20blade%20pass%20vibration%20signature%20analysis.pdf Lim, Meng Hee and Leong, Mohd Salman and Inayat-Hussain, J. I. and Ngui, Wai Keng (2015) Diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis. Journal of Vibrational Engineering and Technologies, 3 (4). pp. 497-512. ISSN 2321-3558
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Lim, Meng Hee Leong, Mohd Salman Inayat-Hussain, J. I. Ngui, Wai Keng Diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis
description	Blade faults detection under field conditions is often conducted using vibration spectrum analysis. However, this method is inherently less effective for blade faults diagnosis and classification due to information loss during signal transformation. This paper intents to explore more detailed vibration analysis methods to address this shortfall. A hybrid method which comprised of Rotor Dynamic Wavelet Scalogram (RDWS) and Blade Pass Vibration Signature (BPVS) analysis were thus formulated. An experimental study was conducted to validate the viability of the proposed hybrid method. Experimental results showed that RDWS offers a new perspective to envisage the different mechanisms of blade faults in the rotor (i.e. creep and rotor eccentricity induced rubbings) and thus enable blade faults classification to be undertaken. Meanwhile, BPVS analysis provides a quantitative approach to diagnose blade faults (i.e. to estimate the quantity and position of faulty blades) and to determine its severity. The hybrid method provides a more comprehensive tool to diagnose different types of blade faults via both qualitative and quantitative approaches, which could be used to complement the shortfall of vibration spectrum analysis.
format	Article
author	Lim, Meng Hee Leong, Mohd Salman Inayat-Hussain, J. I. Ngui, Wai Keng
author_facet	Lim, Meng Hee Leong, Mohd Salman Inayat-Hussain, J. I. Ngui, Wai Keng
author_sort	Lim, Meng Hee
title	Diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis
title_short	Diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis
title_full	Diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis
title_fullStr	Diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis
title_full_unstemmed	Diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis
title_sort	diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis
publisher	Krishtel eMaging Solutions
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/24277/ http://umpir.ump.edu.my/id/eprint/24277/1/Diagnosis%20of%20blade%20fault%20based%20on%20wavelet%20scalogram%20and%20blade%20pass%20vibration%20signature%20analysis.pdf
first_indexed	2023-09-18T22:36:38Z
last_indexed	2023-09-18T22:36:38Z
_version_	1777416639251218432

Diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis

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