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Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades

P. Rajendran, Nidhal Jamia Orcid Logo, S. El-Borgi, M. I. Friswell

Shock and Vibration, Volume: 2018, Pages: 1 - 16

Swansea University Author: Nidhal Jamia Orcid Logo

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DOI (Published version): 10.1155/2018/3027980

Abstract

Blade vibration and blade clearance are effective diagnostic features for the identification of blade damage in rotating machines. Blade tip-timing (BTT) is a noncontact method that is often used to monitor the vibration and clearance of blades in a rotating machinery. Standard signal processing of...

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Published in: Shock and Vibration
ISSN: 1070-9622 1875-9203
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa48991
first_indexed 2019-02-26T19:59:21Z
last_indexed 2024-11-14T11:57:59Z
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spelling 2023-12-01T15:57:09.1216635 v2 48991 2019-02-26 Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades 846b2cd3a7717b296654010df30cb22a 0000-0003-0643-7812 Nidhal Jamia Nidhal Jamia true false 2019-02-26 ACEM Blade vibration and blade clearance are effective diagnostic features for the identification of blade damage in rotating machines. Blade tip-timing (BTT) is a noncontact method that is often used to monitor the vibration and clearance of blades in a rotating machinery. Standard signal processing of BTT measurements give one blade response sample per revolution of the machine which is often insufficient for the diagnosis of damage. This paper uses the raw data signals from the sensors directly and employs a wavelet energy-based mistuning index (WEBMI) to predict the presence and locations of damage in rotating blades. The Lipschitz exponent is derived from the wavelet packet coefficients and used to estimate the severity of the damage. In this study, experiments were conducted to obtain BTT measurements on rotating blades at  rpm using three different sensors: an active eddy current sensor, a passive eddy current sensor, and an optical sensor. In addition, hammer excitation experiments were conducted for various added mass (damage) cases to compute the damage severity for a bladed disk. To simulate the damage experimentally in the bladed disk and rotating blades, masses were added to the blades to alter their dynamics and mimic the damage. The results indicate that the WEBMI can detect the presence and location of damage in rotating blades using measurements from common BTT sensors. To check the robustness of the proposed damage severity index, the experimental results were compared with numerical simulation for the bladed disk and showed good agreement. Journal Article Shock and Vibration 2018 1 16 1070-9622 1875-9203 31 12 2018 2018-12-31 10.1155/2018/3027980 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2023-12-01T15:57:09.1216635 2019-02-26T13:45:32.3516737 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised P. Rajendran 1 Nidhal Jamia 0000-0003-0643-7812 2 S. El-Borgi 3 M. I. Friswell 4 0048991-26022019134835.pdf rajendran2018.pdf 2019-02-26T13:48:35.5500000 Output 6351297 application/pdf Version of Record true 2019-02-26T00:00:00.0000000 true eng
title Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades
spellingShingle Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades
Nidhal Jamia
title_short Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades
title_full Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades
title_fullStr Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades
title_full_unstemmed Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades
title_sort Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades
author_id_str_mv 846b2cd3a7717b296654010df30cb22a
author_id_fullname_str_mv 846b2cd3a7717b296654010df30cb22a_***_Nidhal Jamia
author Nidhal Jamia
author2 P. Rajendran
Nidhal Jamia
S. El-Borgi
M. I. Friswell
format Journal article
container_title Shock and Vibration
container_volume 2018
container_start_page 1
publishDate 2018
institution Swansea University
issn 1070-9622
1875-9203
doi_str_mv 10.1155/2018/3027980
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description Blade vibration and blade clearance are effective diagnostic features for the identification of blade damage in rotating machines. Blade tip-timing (BTT) is a noncontact method that is often used to monitor the vibration and clearance of blades in a rotating machinery. Standard signal processing of BTT measurements give one blade response sample per revolution of the machine which is often insufficient for the diagnosis of damage. This paper uses the raw data signals from the sensors directly and employs a wavelet energy-based mistuning index (WEBMI) to predict the presence and locations of damage in rotating blades. The Lipschitz exponent is derived from the wavelet packet coefficients and used to estimate the severity of the damage. In this study, experiments were conducted to obtain BTT measurements on rotating blades at  rpm using three different sensors: an active eddy current sensor, a passive eddy current sensor, and an optical sensor. In addition, hammer excitation experiments were conducted for various added mass (damage) cases to compute the damage severity for a bladed disk. To simulate the damage experimentally in the bladed disk and rotating blades, masses were added to the blades to alter their dynamics and mimic the damage. The results indicate that the WEBMI can detect the presence and location of damage in rotating blades using measurements from common BTT sensors. To check the robustness of the proposed damage severity index, the experimental results were compared with numerical simulation for the bladed disk and showed good agreement.
published_date 2018-12-31T01:53:50Z
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score 11.04748

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