Non-contact identification of rotating blade vibration

This paper presents a non-contact measurement and diagnostic method for the parametric identification of vibrations of rotating engine blades, based on blade tip-timing (BTT) measured by optical sensors. Because of the inherent under-sampling nature of BTT measurements, effective algorithms are need...

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Autores principales:	Peng WANG, Donald KARG, Zhaoyan FAN, Robert X. GAO, Karrin KWOLEK, Andrew CONSIGLIO
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2015
Materias:	blade vibration non-contact measurement blade tip timing under-sampled signal esprit Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/f5b097928aba4af6abe9d7fa1ba2f181
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id	oai:doaj.org-article:f5b097928aba4af6abe9d7fa1ba2f181
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spelling	oai:doaj.org-article:f5b097928aba4af6abe9d7fa1ba2f1812021-11-26T06:25:42ZNon-contact identification of rotating blade vibration2187-974510.1299/mej.15-00025https://doaj.org/article/f5b097928aba4af6abe9d7fa1ba2f1812015-05-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/2/3/2_15-00025/_pdf/-char/enhttps://doaj.org/toc/2187-9745This paper presents a non-contact measurement and diagnostic method for the parametric identification of vibrations of rotating engine blades, based on blade tip-timing (BTT) measured by optical sensors. Because of the inherent under-sampling nature of BTT measurements, effective algorithms are needed to extract key vibration parameters such as frequency and amplitude from the measurement. In this paper, an Enhanced Estimation of Signal Parameters via Rotational Invariance Technique (E2SPRIT) is proposed. The main advantage of this technique is its ability to analyze both single and multi-mode blade vibrations spreading across a wide dynamic range, while accommodating the effect of varying rotational speeds and sensor installation errors. Analysis and numerical simulation have shown that the method can effectively improve the accuracy and robustness of vibration frequency and amplitude estimation compared to traditional ESPRIT.Peng WANGDonald KARGZhaoyan FANRobert X. GAOKarrin KWOLEKAndrew CONSIGLIOThe Japan Society of Mechanical Engineersarticleblade vibrationnon-contact measurementblade tip timingunder-sampled signalespritMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 2, Iss 3, Pp 15-00025-15-00025 (2015)
institution	DOAJ
collection	DOAJ
language	EN
topic	blade vibration non-contact measurement blade tip timing under-sampled signal esprit Mechanical engineering and machinery TJ1-1570
spellingShingle	blade vibration non-contact measurement blade tip timing under-sampled signal esprit Mechanical engineering and machinery TJ1-1570 Peng WANG Donald KARG Zhaoyan FAN Robert X. GAO Karrin KWOLEK Andrew CONSIGLIO Non-contact identification of rotating blade vibration
description	This paper presents a non-contact measurement and diagnostic method for the parametric identification of vibrations of rotating engine blades, based on blade tip-timing (BTT) measured by optical sensors. Because of the inherent under-sampling nature of BTT measurements, effective algorithms are needed to extract key vibration parameters such as frequency and amplitude from the measurement. In this paper, an Enhanced Estimation of Signal Parameters via Rotational Invariance Technique (E2SPRIT) is proposed. The main advantage of this technique is its ability to analyze both single and multi-mode blade vibrations spreading across a wide dynamic range, while accommodating the effect of varying rotational speeds and sensor installation errors. Analysis and numerical simulation have shown that the method can effectively improve the accuracy and robustness of vibration frequency and amplitude estimation compared to traditional ESPRIT.
format	article
author	Peng WANG Donald KARG Zhaoyan FAN Robert X. GAO Karrin KWOLEK Andrew CONSIGLIO
author_facet	Peng WANG Donald KARG Zhaoyan FAN Robert X. GAO Karrin KWOLEK Andrew CONSIGLIO
author_sort	Peng WANG
title	Non-contact identification of rotating blade vibration
title_short	Non-contact identification of rotating blade vibration
title_full	Non-contact identification of rotating blade vibration
title_fullStr	Non-contact identification of rotating blade vibration
title_full_unstemmed	Non-contact identification of rotating blade vibration
title_sort	non-contact identification of rotating blade vibration
publisher	The Japan Society of Mechanical Engineers
publishDate	2015
url	https://doaj.org/article/f5b097928aba4af6abe9d7fa1ba2f181
work_keys_str_mv	AT pengwang noncontactidentificationofrotatingbladevibration AT donaldkarg noncontactidentificationofrotatingbladevibration AT zhaoyanfan noncontactidentificationofrotatingbladevibration AT robertxgao noncontactidentificationofrotatingbladevibration AT karrinkwolek noncontactidentificationofrotatingbladevibration AT andrewconsiglio noncontactidentificationofrotatingbladevibration
_version_	1718409817975947264

Non-contact identification of rotating blade vibration

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