Parameter Study of Statistics of Modal Parameter Estimates Using Automated Operational Modal Analysis

Christensen, Silas Sverre; Brandt, Anders

doi:10.1007/978-3-030-12115-0_34

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…However, for methods operating in the time domain, including the MITD algorithm, there is also a bias error present. This bias error is associated with the number of time lag values used in the correlation function estimates, whose optimum, is known to be different for each mode [27]. Therefore, whether the PLSCF algorithm or the MITD algorithm are used, there will always be a bias error present.…”

Section: Discussionmentioning

confidence: 99%

Quantitative Study on the Modal Parameters Estimated Using the PLSCF and the MITD Methods and an Automated Modal Analysis Algorithm

Christensen

Manzoni

Vanali

et al. 2020

Topics in Modal Analysis &Amp; Testing, Volume 8

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There are many advanced algorithms used to estimate modal parameters. In this paper, the modal parameters extracted from the Poly-reference Least Squares Complex Frequency (PLSCF) algorithm and the Multi-reference Ibrahim Time Domain (MITD) algorithm, are compared. The former, is widely used in the industry and is known to produce almost crystal clear stabilization diagrams with barely any spurious pole estimates. The latter, is less common and the stabilization diagrams typically contain some spurious pole estimates. An Automated Modal Analysis (AMA) algorithm, that utilizes the statistical representation of the pole estimates combined with a number of decision rules based on the Modal Assurance Criteria (MAC), is employed, to detect probable physical poles. Simulated data from a Plexiglas plate is used in the study. Results indicate that the absolute bias error associated with the modal parameter estimates output by the PLSCF algorithm is higher than the bias error related to the modal parameter estimates output by the MITD algorithm. It was not conclusive which of the two methods that had the lowest random error. It should also be mentioned that, while the MITD algorithm could process all references and responses, the PLSCF algorithm relied strongly on a delicate selection of representative references and that not too many references were used.

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Section: Discussionmentioning

confidence: 99%

Quantitative Study on the Modal Parameters Estimated Using the PLSCF and the MITD Methods and an Automated Modal Analysis Algorithm

Christensen

Manzoni

Vanali

et al. 2020

Topics in Modal Analysis &Amp; Testing, Volume 8

Self Cite

View full text Add to dashboard Cite

show abstract

“…derived from frequency response functions or PSDs (Andersen et al, 2007;Rainieri et al, 2007;Rainieri and Fabbrocino, 2010). Automated parametric methods are based on the automated interpretation of stabilisation diagrams (Christensen and Brandt, 2020;Reynders et al, 2011;Su et al, 2021;Zonno et al, 2017), which involves tracking estimates of modal parameters as a function of model order (Christensen, 2020;Reynders et al, 2012;Ubertini et al, 2013). As the model order is increased, the estimates of physical modal parameters stabilise.…”

Section: Automated Modal Analysismentioning

confidence: 99%

A review on fatigue monitoring of structures

García-Fernández

Aenlle

Álvarez-Vázquez

et al. 2023

IJSI

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PurposeThe purpose of this study is to review the existing fatigue and vibration-based structural health monitoring techniques and highlight the advantages of combining both approaches.Design/methodology/approachFatigue monitoring requires a fatigue model of the material, the stresses at specific points of the structure, a cycle counting technique and a fatigue damage criterion. Firstly, this paper reviews existing structural health monitoring (SHM) techniques, addresses their principal classifications and presents the main characteristics of each technique, with a particular emphasis on modal-based methodologies. Automated modal analysis, damage detection and localisation techniques are also reviewed. Fatigue monitoring is an SHM technique which evaluate the structural fatigue damage in real time. Stress estimation techniques and damage accumulation models based on the S-N field and the Miner rule are also reviewed in this paper.FindingsA vast amount of research has been carried out in the field of SHM. The literature about fatigue calculation, fatigue testing, fatigue modelling and remaining fatigue life is also extensive. However, the number of publications related to monitor the fatigue process is scarce. A methodology to perform real-time structural fatigue monitoring, in both time and frequency domains, is presented.Originality/valueFatigue monitoring can be combined (applied simultaneously) with other vibration-based SHM techniques, which might significantly increase the reliability of the monitoring techniques.

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Effect of wind and wave properties in modal parameter estimates of an idling offshore wind turbine from long-term monitoring data

Kjeld

Avendaño-Valencia²,

Vestermark³

2023

Mechanical Systems and Signal Processing

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Parameter Study of Statistics of Modal Parameter Estimates Using Automated Operational Modal Analysis

Cited by 3 publications

References 16 publications

Quantitative Study on the Modal Parameters Estimated Using the PLSCF and the MITD Methods and an Automated Modal Analysis Algorithm

Quantitative Study on the Modal Parameters Estimated Using the PLSCF and the MITD Methods and an Automated Modal Analysis Algorithm

A review on fatigue monitoring of structures

Effect of wind and wave properties in modal parameter estimates of an idling offshore wind turbine from long-term monitoring data

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