Publications
- Published
A Bayesian Augmented-Learning framework for spectral uncertainty quantification of incomplete records of stochastic processes
Chen, Y., Patelli, E., Edwards, B. & Beer, M., 1 Oct 2023, In: Mechanical Systems and Signal Processing. 200, 110573.Research output: Contribution to journal › Article › Research › peer review
- Published
Active learning line sampling for rare event analysis
Song, J., Wei, P., Valdebenito, M. & Beer, M., 15 Jan 2021, In: Mechanical Systems and Signal Processing. 147, 107113.Research output: Contribution to journal › Article › Research › peer review
- Published
A feature mapping strategy of metamodelling for nonlinear stochastic dynamical systems with low to high-dimensional input uncertainties
Wan, Z., Chen, J., Tao, W., Wei, P., Beer, M. & Jiang, Z., 1 Feb 2023, In: Mechanical Systems and Signal Processing. 184, 109656.Research output: Contribution to journal › Article › Research › peer review
- Published
A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems
Xu, Y., Ji, J. C., Ni, Q., Feng, K., Beer, M. & Chen, H., 1 Oct 2023, In: Mechanical Systems and Signal Processing. 200, 110609.Research output: Contribution to journal › Article › Research › peer review
- Published
A KDE-based non-parametric cloud approach for efficient seismic fragility estimation of structures under non-stationary excitation
Cao, X. Y., Feng, D. C. & Beer, M., 15 Dec 2023, In: Mechanical Systems and Signal Processing. 205, 110873.Research output: Contribution to journal › Article › Research › peer review
- Published
A multivariate interval approach for inverse uncertainty quantification with limited experimental data
Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M. & Moens, D., 1 Mar 2019, In: Mechanical Systems and Signal Processing. 118, p. 534-548 15 p.Research output: Contribution to journal › Article › Research › peer review
- Published
An approach to evaluation of EVD and small failure probabilities of uncertain nonlinear structures under stochastic seismic excitations
Dang, X. C., Wei, P. & Beer, M., 1 May 2021, In: Mechanical Systems and Signal Processing. 152, 107468.Research output: Contribution to journal › Article › Research › peer review
- Published
An efficient Bayesian updating framework for characterizing the posterior failure probability
Li, P. P., Zhao, Y. G., Dang, C., Broggi, M., Valdebenito, M. A. & Faes, M. G. R., 1 Jan 2025, In: Mechanical Systems and Signal Processing. 222, 111768.Research output: Contribution to journal › Article › Research › peer review
- Published
An efficient importance sampling approach for reliability analysis of time-variant structures subject to time-dependent stochastic load
Yuan, X., Liu, S., Faes, M., Valdebenito, M. A. & Beer, M., Oct 2021, In: Mechanical Systems and Signal Processing. 159, 107699.Research output: Contribution to journal › Article › Research › peer review
- Published
A new method for stochastic analysis of structures under limited observations
Dai, H., Zhang, R. & Beer, M., 15 Feb 2023, In: Mechanical Systems and Signal Processing. 185, 109730.Research output: Contribution to journal › Article › Research › peer review
- External
An improved adaptive bivariate dimension-reduction method for efficient statistical moment and reliability evaluations
Ding, C. & Xu, J., 15 Feb 2021, In: Mechanical Systems and Signal Processing. 149, 107309.Research output: Contribution to journal › Article › Research › peer review
- Published
An iteration-free approach to excitation harmonization
Hippold, P., Kleyman, G., Woiwode, L., Wei, T., Müller, F., Schwingshackl, C., Scheel, M., Tatzko, S. & Krack, M., 15 Jun 2025, In: Mechanical Systems and Signal Processing. 233, 112732.Research output: Contribution to journal › Article › Research › peer review
- Published
An iterative multi-fidelity scheme for simulating multi-dimensional non-Gaussian random fields
Zheng, Z., Beer, M. & Nackenhorst, U., 1 Oct 2023, In: Mechanical Systems and Signal Processing. 200, 110643.Research output: Contribution to journal › Article › Research › peer review
- Published
A non-iterative partitioned computational method with the energy conservation property for time-variant dynamic systems
Yuan, P., Yuen, K. V., Beer, M., Cai, C. S. & Yan, W., 1 Mar 2024, In: Mechanical Systems and Signal Processing. 209, 26 p., 111105.Research output: Contribution to journal › Article › Research › peer review
- Published
A novel additive manufactured three-dimensional piezoelectric transducer: Systematic modeling and experimental validation
Wang, L., Hofmann, V., Bai, F., Jin, J. & Twiefel, J., 1 Jan 2019, In: Mechanical Systems and Signal Processing. 114, p. 346-365 20 p.Research output: Contribution to journal › Article › Research › peer review
- Published
An ultrasonic levitation journal bearing able to control spindle center position
Zhao, S., Mojrzisch, S. & Wallaschek, J., 11 Jun 2012, In: Mechanical Systems and Signal Processing. 36, 1, p. 168-181 14 p.Research output: Contribution to journal › Article › Research › peer review
- Published
A probability-box-based method for propagation of multiple types of epistemic uncertainties and its application on composite structural-acoustic system
Zhu, W., Chen, N., Liu, J. & Beer, M., 15 Feb 2021, In: Mechanical Systems and Signal Processing. 149, 107184.Research output: Contribution to journal › Article › Research › peer review
- Published
A review of vibration-based gear wear monitoring and prediction techniques
Feng, K., Ji, J. C., Ni, Q. & Beer, M., 1 Jan 2023, In: Mechanical Systems and Signal Processing. 182, 27 p., 109605.Research output: Contribution to journal › Review article › Research › peer review
- Published
A unified scheme to solving arbitrary complex-valued ratio distribution with application to statistical inference for raw frequency response functions and transmissibility functions
Yan, W., Zhao, M., Beer, M., Ren, W. & Chronopoulos, D., Nov 2020, In: Mechanical Systems and Signal Processing. 145, 106886.Research output: Contribution to journal › Article › Research › peer review
- Published
Bayesian inversion for imprecise probabilistic models using a novel entropy-based uncertainty quantification metric
Yang, L., Bi, S., Faes, M. G. R., Broggi, M. & Beer, M., 1 Jan 2022, In: Mechanical Systems and Signal Processing. 162, 107954.Research output: Contribution to journal › Article › Research › peer review