Results 11 to 20 of about 33,160 (233)
Uncertainty quantification in data-driven stochastic subspace identification [PDF]
Mechanical Systems and Signal Processing, 2021 Abstract A crucial aspect in system identification is the assessment of the accuracy of the identified system matrices. Stochastic Subspace Identification (SSI) is a widely used approach for the identification of linear systems from output-only data because it combines a high computational robustness and efficiency with a high estimation accuracy ...
Edwin Pb Reynders
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Efficient multi-order uncertainty computation for stochastic subspace identification [PDF]
Mechanical Systems and Signal Processing, 2013 Stochastic Subspace Identification methods have been extensively used for the modal analysis of mechanical, civil or aeronautical structures for the last ten years. So-called stabilization diagrams are used, where modal parameters are estimated at successive model orders, leading to a graphical procedure where the physical modes of the system are ...
Döhler, Michael, Mevel, Laurent
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Mathematics, 2023 This paper presents a continuous-time subspace identification method utilizing prior information and generalized orthonormal basis functions. A generalized orthonormal basis is constructed by a rational inner function, and the transformed noises have ...
Miao Yu +3 more
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Applied Sciences, 2022 Although widely used in various fields due to its powerful capability of signal processing, empirical mode decomposition has to decompose signals separately, which limits its application for multivariate data such as the structural monitoring data ...
Mingfeng Huang +3 more
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Applied Sciences, 2020 Subspace system identification is a class of methods to estimate state-space model based on low rank characteristic of a system. State-space-based subspace system identification is the dominant subspace method for system identification in health ...
Hoofar Shokravi +4 more
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Modal Parameter Identification of Recursive Stochastic Subspace Method
Symmetry, 2023 In bridge health monitoring, in order to closely monitor the structural state changes of the bridge under heavy traffic load and other harsh environments, the monitoring system is required to give the change process of structural modal parameters. Due to the symmetric variables of bridge monitoring during operation, the evaluation needs to be completed
Haishan Wu, Yifeng Huang
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Applied Sciences, 2020 A large number of research studies in structural health monitoring (SHM) have presented, extended, and used subspace system identification. However, there is a lack of research on systematic literature reviews and surveys of studies in this field ...
Hoofar Shokravi +5 more
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Fast Multi-Order Stochastic Subspace Identification⋆
IFAC Proceedings Volumes, 2011 Abstract Stochastic subspace identification methods are an efficient tool for system identification of mechanical systems in Operational Modal Analysis (OMA), where modal parameters are estimated from measured vibrational data of a structure. System identification is usually done for many successive model orders, as the true system order is unknown ...
Michael Duhler, Laurent Mevel
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Elevator dynamic monitoring and early warning system based on machine learning algorithm
IET Networks, EarlyView., 2022 In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
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Applied Sciences, 2018 This paper proposes a fault identification method based on an improved stochastic subspace modal identification algorithm to achieve high-performance fault identification of dump truck suspension.
Bingwen Liu +4 more
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