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A Modification to Unified Matrix Polynomial Approach (UMPA) for Modal Parameter Identification Read chapter Read first chapter

2019 | OriginalPaper | Chapter

2. Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis

Authors : S. Gres, P. Andersen, C. Hoen, L. Damkilde

Published in: Structural Health Monitoring, Photogrammetry & DIC, Volume 6

Publisher: Springer International Publishing

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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.

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previous chapter A Modification to Unified Matrix Polynomial Approach (UMPA) for Modal Parameter Identification
next chapter Identifying Mode Shapes of Turbo-Machinery Blades Using Principal Component Analysis and Support Vector Machines
Literature
1.
Benveniste, A., Mevel, L.: Nonstationary consistency of subspace methods. IEEE Trans. Autom. Control 52(6), 974–984 (2007)
2.
Basseville, M., Benveniste, A., Goursat, M., Hermans, L., Mevel, L., Van der Auweraer, H.: Output-only subspace-based structural identification: from theory to industrial testing practice. J. Dyn. Syst. Meas. Control 123(4), 668–676 (2001)
3.
Balmés, E., Basseville, M., Mevel, L., Nasser, H., Zhou, W.: Statistical model-based damage localization: a combined subspace-based and substructuring approach. Struct. Control. Health Monit. 15(6), 857–875 (2008)
4.
Döhler, M., Mevel, L., Hille, F.: Subspace-based damage detection under changes in the ambient excitation statistics. Mech. Syst. Signal Process. 45(1), 207–224 (2014)
5.
Peeters, B., Cornelis, B., Janssens, K., Van der Auweraer, H.: Removing disturbing harmonics in operational modal analysis. In: Proceedings of the International Operational Modal Analysis Conference (2007)
6.
Combet, F., Gelman, L.: An automated methodology for performing time synchronous averaging of a gearbox signal without speed sensor. Mech. Syst. Signal Process. 21(6), 2590–2606 (2007)
7.
Randall, R., Smith, W.: New cepstral techniques for operational modal analysis. In: Proceedings of the First World Congress on Condition Monitoring (2017)
8.
Bienert, J., Andersen, P., Aguirre, R.: A harmonic peak reduction technique for operational modal analysis of rotating machinery. In: Proceedings of the International Operational Modal Analysis Conference (2015)
9.
Pintelon, R., Peeters, B., Guillaume, P.: Continuous-time operational modal analysis in the presence of harmonic disturbances the multivariate case. Mech. Syst. Signal Process. 24(1), 90–105 (2010)
10.
Peeters, B., de Roeck, G.: Reference-based stochastic subspace identification for output-only modal analysis. Mech. Syst. Signal Process. 13(6), 855–878 (1999)
11.
van Overschee, P., de Moor, B.: Subspace identification for linear systems, 1st edn. Springer, Boston (1996)
12.
Aoki, M.: State space modeling of time series, 3rd edn. Springer, New York (1990)
13.
Jacobsen, N.-J., Andersen, P., Brincker, R.: Eliminating the influence of harmonic components in operational modal analysis. In: Conference Proceedings, Society for Experimental Mechanics (2007)
14.
Hoen, C.: Subspace identification of modal coordinate time series. In: Proceedings of the 24th International Modal Analysis Conference (IMAC) (2006)
15.
Structural-Vibration-Solutions: ARTeMIS Modal Pro 5.2 (2017)
16.
Döhler, M., Andersen, P., Mevel, L.: Variance computation of modal parameter estimates from UPC subspace identification. In: IOMAC – 7th International Operational Modal Analysis Conference, Ingolstadt (2017)
17.
Rosenow, S.-E., Uhlenbrock, S., Schlottmann, G.: Parameter extraction of ship structures in presence of stochastic and harmonic excitations. In: Proceedings of the International Operational Modal Analysis Conference (IOMAC 2007), vol. 4, p. 01 (2007)
18.
Jacobsen, N.-J., Andersen, P.: Operational modal analysis on structures with rotating parts. In: Proceedings of the International Conference on Noise and Vibration Engineering, KU Leuven (2008)
Metadata
Title
Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis
Authors
S. Gres
P. Andersen
C. Hoen
L. Damkilde
Copyright Year
2019
Book
Structural Health Monitoring, Photogrammetry & DIC, Volume 6

Print ISBN: 978-3-319-74475-9

Electronic ISBN: 978-3-319-74476-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-74476-6_2

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