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 | 15 | 2022 |
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 | 14 | 2022 |
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 | 9 | 2023 |
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 | 8 | 2022 |
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 | 8 | 2020 |
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 | 2 | 2024 |
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 | 2 | 2024 |
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 | 1 | 2024 |
Uncertainty modelling in power spectrum estimation of environmental processes M Behrendt Hannover: Institutionelles Repositorium der Leibniz Universität Hannover, 2022 | 1 | 2022 |
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 | 1 | 2022 |
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 |