Experimental Localization of Small Damages Using Modal Filters

Tondreau, Gilles; Deraemaeker, Arnaud

doi:10.1007/978-1-4614-6546-1_62

Cited by 6 publications

(8 citation statements)

References 9 publications

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“…If these control limits are set properly, the monitoring of the indicator over time in control charts provides a reliable tool for damage detection. Theoretical aspects of control charts are provided in [65] and [66], while discussions on the practical application of peak indicators can be found in [27] and [67].…”

Section: Motivation and General Remarksmentioning

confidence: 99%

Uncertainty quantification of dynamic responses in the frequency domain in the context of virtual testing

Brehm

Deraemaeker

2015

Journal of Sound and Vibration

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a b s t r a c tFor the development of innovative materials, construction types or maintenance strategies, experimental investigations are inevitable to validate theoretical approaches in praxis. Numerical simulations, embedded in a general virtual testing approach, are alternatives to expensive experimental investigations.The statistical properties of the dynamic response in the frequency domain obtained from continuously measured data are often the basis for many developments, such as the optimization of damage indicators for structural health monitoring systems or the investigation of data-based frequency response function estimates. Two straightforward numerical simulation approaches exist to derive the statistics of a response due to random excitation and measurement errors. One approach is the sample-based technique, wherein for each excitation sample a time integration solution is needed. This can be computationally very demanding if a high accuracy of the statistical properties is of interest. The other approach consists in using the relationship between the excitation and the response directly in the frequency domain, wherein a weakly stationary process is assumed. This approach is inherently related to an infinite time response, which can hardly be derived from measured data.In this paper, a novel approach is proposed that overcomes the limitation of both aforementioned methods, by providing a fast analytical probabilistic framework for uncertainty quantification to determine accurately the statistics of short time dynamic responses. It is assumed that the structural system is known and can be described by deterministic parameters. The influences of signal processing techniques, such as linear combinations, windowing, and segmentation used in Welch's method, are considered as well. The performance of the new algorithm is investigated in comparison to both previous approaches on a three degrees of freedom system. The benchmark shows that the novel approach outperforms the sample-based approach with respect to accuracy and computational effort. In comparison with the approach based on the estimator in the frequency domain, the results are more accurate in the case of short time dynamic responses. To show the interest of the technique, the novel approach is applied to the investigation of a damage indicator, which allows developing a deep insight in the effect of typical signal processing techniques on the statistics of quantities derived from response Fourier transforms.

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Section: Motivation and General Remarksmentioning

confidence: 99%

Uncertainty quantification of dynamic responses in the frequency domain in the context of virtual testing

Brehm

Deraemaeker

2015

Journal of Sound and Vibration

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“…whereφ g andφ c are the normalized GLE vector and CWCD vector, respectively. ϕ g and ϕ c ϕ g are the corresponding vectors calculated from Equations (5), (9), and (10). The results illustrate how the identification improved with the number of averages t a .…”

Section: Noise Immunity Comparisonsmentioning

confidence: 99%

The hybrid multivariate analysis method for damage detection

Yang

Chen

Xie

et al. 2015

Struct. Control Health Monit.

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SUMMARYAs the defects and superiorities of indices are mutualisms frequently, such as noise immunity and damage sensitivity, damage identification based on single damage index may hardly present the effective result all the time, so multiple indices fusion method is introduced in this paper to achieve some complementary improvements. In this paper, two kinds of no-baseline mode shape-based damage indices, namely, the generalized local entropy and the curvature waveform capacity fractural, are utilized to construct the basic index set for combination, and the fuzzy cluster method is introduced in order to establish fusion process. These two parts generate the hybrid multivariate analysis method finally. The multivariate analysis' superiority mainly displays on two aspects: (1) the use of no-baseline mode shape-based method ensures the damage detection efficiency with the absence of healthy mode shape serving as baseline and (2) the fusion conducted by cluster method provides the mutual support and complementation among indices, which can enhance the robustness of algorithm. The performances of the present method are verified via sufficient numerical examples, and then experiments are demonstrated on three typical engineering structures, namely, cantilever beam, blower wheel, and rotor, for further validations.

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“…Description of the case study Fig. 7 shows an overview of the first experimental setup [46] which is investigated. The structure consists of a 100 mm Â 670 mm Â 3 mm clamped-free steel plate.…”

Section: Experimental Case Studiesmentioning

confidence: 99%

Automated data-based damage localization under ambient vibration using local modal filters and dynamic strain measurements: Experimental applications

Tondreau¹,

Deraemaeker²

2014

Journal of Sound and Vibration

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a b s t r a c tThis paper deals with the experimental application of modal filters for automated damage localization using dynamic strain measurements. Previously developed for damage detection, the extension of modal filtering to damage localization consists in splitting a very large network of dynamic strain sensors into several independent local sensor networks. An efficient signal processing coupled to control charts allows a fully automated data-based damage localization once the modal filters are initialized. The method is tested experimentally on a small clamped-free steel plate and a 3.78 m long steel I-beam, both instrumented with a network of cheap piezoelectric patches to measure the dynamic strains. A removable damage is introduced at different positions by means of a small removable damage device. For both applications, the method can successfully detect and locate all damage cases considered, showing the potentiality of the method for field applications.

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Experimental Localization of Small Damages Using Modal Filters

Cited by 6 publications

References 9 publications

Uncertainty quantification of dynamic responses in the frequency domain in the context of virtual testing

Uncertainty quantification of dynamic responses in the frequency domain in the context of virtual testing

The hybrid multivariate analysis method for damage detection

Automated data-based damage localization under ambient vibration using local modal filters and dynamic strain measurements: Experimental applications

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