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Marco Behrendt
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Projecting interval uncertainty through the discrete Fourier transform: An application to time signals with poor precision
M Behrendt, M de Angelis, L Comerford, Y Zhang, M Beer
Mechanical Systems and Signal Processing 172, 108920, 2022
152022
Relaxed power spectrum estimation from multiple data records utilising subjective probabilities
M Behrendt, M Bittner, L Comerford, M Beer, J Chen
Mechanical Systems and Signal Processing 165, 108346, 2022
142022
Estimation of an imprecise power spectral density function with optimised bounds from scarce data for epistemic uncertainty quantification
M Behrendt, MGR Faes, MA Valdebenito, M Beer
Mechanical Systems and Signal Processing 189, 110072, 2023
92023
Data-driven reliability assessment of dynamic structures based on power spectrum classification
M Behrendt, M Kitahara, T Kitahara, L Comerford, M Beer
Engineering Structures 268, 114648, 2022
82022
Forward Interval propagation through the discrete Fourier transform
M De Angelis, M Behrendt, L Comerford, Y Zhang, M Beer
arXiv preprint arXiv:2012.09778, 2020
82020
Relaxed evolutionary power spectral density functions: A probabilistic approach to model uncertainties of non-stationary stochastic signals
M Bittner, M Behrendt, M Beer
Mechanical Systems and Signal Processing 211, 111210, 2024
22024
Data-driven and physics-based interval modelling of power spectral density functions from limited data
M Behrendt, C Dang, M Beer
Mechanical Systems and Signal Processing 208, 111078, 2024
22024
Failure probability estimation of dynamic systems employing relaxed power spectral density functions with dependent frequency modeling and sampling
M Behrendt, MZ Lyu, Y Luo, JB Chen, M Beer
Probabilistic Engineering Mechanics 75, 103592, 2024
12024
Uncertainty modelling in power spectrum estimation of environmental processes
M Behrendt
Hannover: Institutionelles Repositorium der Leibniz Universität Hannover, 2022
12022
Assessing the severity of missing data problems with the interval discrete Fourier transform algorithm
M Behrendt, M de Angelis, L Comerford, M Beer
ESREL 2022, 2022
12022
Structural reliability analysis using imprecise evolutionary power spectral density functions
M Behrendt, C Dang, MGR Faes, MA Valdebenito, M Beer
Journal of Physics: Conference Series 2647 (6), 062003, 2024
2024
Probabilistic modelling of power spectral density functions for dynamic system reliability assessment
M Behrendt, C Dang, M Beer
2024
Uncertainty propagation of missing data signals with the interval discrete Fourier transform
M Behrendt, M de Angelis, M Beer
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2023
2023
Stochastic process generation from relaxed power spectra utilising stochastic harmonic functions
M Behrendt, M Bittner, M Beer
ISRERM 2022, 2022
2022
Classification of power spectra from data sets with high spectral variance for reliability analysis of dynamic structures
M Behrendt, M Kitahara, T Kitahara, L Comerford, M Beer
ISRERM 2022, 2022
2022
Parameter Investigation of Relaxed Uncertain Power Spectra for Stochastic Dynamic Systems
M Behrendt, M Bittner, L Comerford, M Broggi, M Beer
EURODYN 2020, 2020
2020
Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings
M Behrendt, L Comerford, M Beer
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 784-790, 2019
2019
Stochastic Processes Identification from Data Ensembles via Power Spectrum Classification
M Behrendt, L Comerford, M Beer
13th International Conference on Applications of Statistics and Probability …, 2019
2019
Relaxed Stationary Power Spectrum Model using Imprecise Probabilities
M Behrendt, L Comerford, M Beer
COMPDYN 2019 1, 592-599, 2019
2019
Synchronized Load Quantification from Multiple Data Records for Analysing High-rise Buildings
M Behrendt, W Punurai, M Beer
7th Asia Conference on Earthquake Engineering, 22-25 November 2018, Bangkok …, 2018
2018
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