Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis

Szymon Gres; Palle Andersen; C. Hoen; Lars Damkilde

doi:10.1007/978-3-319-74476-6_2

Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis

Szymon Gres, Palle Andersen, C. Hoen, Lars Damkilde

The Faculty of Engineering and Science

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

12 Citations (Scopus)

116 Downloads (Pure)

Abstract

A presence of a high amplitude periodic signals in the output responses from operating structures often pose a challenge for output-only system identification and, in case of health monitoring, damage detection/localization methods. This paper introduces a pre-processing approach that removes the harmonic part from the output signals directly in the time domain. The new method uses orthogonal projections of the harmonic realization of the signal onto the raw time series within the stochastic subspace framework. Proposed algorithm is tested on two experimental examples. First, an aluminum plate excited with both random white and periodic excitations. Second, a full-scale industrial case of a ferry excited by a random environmental load with harmonic interference from a rotating machinery on-board. In both cases the proposed method removes the harmonics from the structural responses while leaving the random part of the output signal.

Original language	English
Title of host publication	Structural Health Monitoring, Photogrammetry & DIC : Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018
Editors	Christopher Niezrecki, Javad Baqersad
Number of pages	13
Volume	6
Publisher	Springer
Publication date	2019
Pages	9-21
Chapter	2
ISBN (Print)	978-3-319-74475-9
ISBN (Electronic)	978-3-319-74476-6
DOIs	https://doi.org/10.1007/978-3-319-74476-6_2
Publication status	Published - 2019
Event	IMAC XXXVI, A Conference and Exposition on Structural Dynamics 2018 - Orlando, United States Duration: 12 Feb 2018 → 15 Feb 2018 Conference number: 36

Conference

Conference	IMAC XXXVI, A Conference and Exposition on Structural Dynamics 2018
Number	36
Country/Territory	United States
City	Orlando
Period	12/02/2018 → 15/02/2018

Series	Conference Proceedings of the Society for Experimental Mechanics Series
Volume	6
ISSN	2191-5644

Keywords

Operational modal analysis
Stochastic subspace identification
Rotating machinery
Harmonic removal
Non-stationary harmonics

Access to Document

10.1007/978-3-319-74476-6_2

Orthogonal projection-based harmonic signal removal for operationalAccepted author manuscript, 12.4 MB

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

Gres, S., Andersen, P., Hoen, C., & Damkilde, L. (2019). Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis. In C. Niezrecki, & J. Baqersad (Eds.), Structural Health Monitoring, Photogrammetry & DIC: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018 (Vol. 6, pp. 9-21). Springer. https://doi.org/10.1007/978-3-319-74476-6_2

Gres, Szymon ; Andersen, Palle ; Hoen, C. et al. / Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis. Structural Health Monitoring, Photogrammetry & DIC: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. editor / Christopher Niezrecki ; Javad Baqersad. Vol. 6 Springer, 2019. pp. 9-21 (Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 6).

@inproceedings{3aa579038a7d48f795428f19787c53d7,

title = "Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis",

abstract = "A presence of a high amplitude periodic signals in the output responses from operating structures often pose a challenge for output-only system identification and, in case of health monitoring, damage detection/localization methods. This paper introduces a pre-processing approach that removes the harmonic part from the output signals directly in the time domain. The new method uses orthogonal projections of the harmonic realization of the signal onto the raw time series within the stochastic subspace framework. Proposed algorithm is tested on two experimental examples. First, an aluminum plate excited with both random white and periodic excitations. Second, a full-scale industrial case of a ferry excited by a random environmental load with harmonic interference from a rotating machinery on-board. In both cases the proposed method removes the harmonics from the structural responses while leaving the random part of the output signal.",

keywords = "Operational modal analysis, Stochastic subspace identification, Rotating machinery, Harmonic removal, Non-stationary harmonics, Operational modal analysis, Stochastic subspace identification, Rotating machinery, Harmonic removal, Non-stationary harmonics",

author = "Szymon Gres and Palle Andersen and C. Hoen and Lars Damkilde",

year = "2019",

doi = "10.1007/978-3-319-74476-6_2",

language = "English",

isbn = "978-3-319-74475-9",

volume = "6",

series = "Conference Proceedings of the Society for Experimental Mechanics Series",

pages = "9--21",

editor = "Christopher Niezrecki and Javad Baqersad",

booktitle = "Structural Health Monitoring, Photogrammetry & DIC",

publisher = "Springer",

address = "Germany",

note = "IMAC XXXVI, A Conference and Exposition on Structural Dynamics 2018, IMAC XXXVI ; Conference date: 12-02-2018 Through 15-02-2018",

}

Gres, S, Andersen, P, Hoen, C & Damkilde, L 2019, Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis. in C Niezrecki & J Baqersad (eds), Structural Health Monitoring, Photogrammetry & DIC: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. vol. 6, Springer, Conference Proceedings of the Society for Experimental Mechanics Series, vol. 6, pp. 9-21, IMAC XXXVI, A Conference and Exposition on Structural Dynamics 2018, Orlando, Florida, United States, 12/02/2018. https://doi.org/10.1007/978-3-319-74476-6_2

Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis. / Gres, Szymon; Andersen, Palle; Hoen, C. et al.
Structural Health Monitoring, Photogrammetry & DIC: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. ed. / Christopher Niezrecki; Javad Baqersad. Vol. 6 Springer, 2019. p. 9-21 (Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 6).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis

AU - Gres, Szymon

AU - Andersen, Palle

AU - Hoen, C.

AU - Damkilde, Lars

N1 - Conference code: 36

PY - 2019

Y1 - 2019

N2 - A presence of a high amplitude periodic signals in the output responses from operating structures often pose a challenge for output-only system identification and, in case of health monitoring, damage detection/localization methods. This paper introduces a pre-processing approach that removes the harmonic part from the output signals directly in the time domain. The new method uses orthogonal projections of the harmonic realization of the signal onto the raw time series within the stochastic subspace framework. Proposed algorithm is tested on two experimental examples. First, an aluminum plate excited with both random white and periodic excitations. Second, a full-scale industrial case of a ferry excited by a random environmental load with harmonic interference from a rotating machinery on-board. In both cases the proposed method removes the harmonics from the structural responses while leaving the random part of the output signal.

AB - A presence of a high amplitude periodic signals in the output responses from operating structures often pose a challenge for output-only system identification and, in case of health monitoring, damage detection/localization methods. This paper introduces a pre-processing approach that removes the harmonic part from the output signals directly in the time domain. The new method uses orthogonal projections of the harmonic realization of the signal onto the raw time series within the stochastic subspace framework. Proposed algorithm is tested on two experimental examples. First, an aluminum plate excited with both random white and periodic excitations. Second, a full-scale industrial case of a ferry excited by a random environmental load with harmonic interference from a rotating machinery on-board. In both cases the proposed method removes the harmonics from the structural responses while leaving the random part of the output signal.

KW - Operational modal analysis

KW - Stochastic subspace identification

KW - Rotating machinery

KW - Harmonic removal

KW - Non-stationary harmonics

KW - Operational modal analysis

KW - Stochastic subspace identification

KW - Rotating machinery

KW - Harmonic removal

KW - Non-stationary harmonics

UR - https://doi.org/10.1007/978-3-319-74476-6

UR - http://www.scopus.com/inward/record.url?scp=85068321473&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-74476-6_2

DO - 10.1007/978-3-319-74476-6_2

M3 - Article in proceeding

SN - 978-3-319-74475-9

VL - 6

T3 - Conference Proceedings of the Society for Experimental Mechanics Series

SP - 9

EP - 21

BT - Structural Health Monitoring, Photogrammetry & DIC

A2 - Niezrecki, Christopher

A2 - Baqersad, Javad

PB - Springer

T2 - IMAC XXXVI, A Conference and Exposition on Structural Dynamics 2018

Y2 - 12 February 2018 through 15 February 2018

ER -

Gres S, Andersen P, Hoen C, Damkilde L. Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis. In Niezrecki C, Baqersad J, editors, Structural Health Monitoring, Photogrammetry & DIC: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. Vol. 6. Springer. 2019. p. 9-21. (Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 6). doi: 10.1007/978-3-319-74476-6_2

Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Cite this