Results 1 to 10 of about 3,141,474 (179)
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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CESSIPy: A Python open-source module for stochastic system identification in civil engineering
SoftwareX, 2022 This paper presents CESSIPy, a Python open-source module for identifying modal properties of a vibrating structure from output-only measurements. The identified properties are natural frequencies, damping ratios and modal shapes.
Matheus Roman Carini, Marcelo Maia Rocha
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Measurement + Control, 2021 In the wind tunnel test of a long-span bridge model, to ensure that the dynamic characteristics of the model can satisfy the test design requirements, it is particularly important to accurately identify the modal parameters of the model.
Yulin Zhou +5 more
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High-Speed Railway, 2023 Modal and damage identification based on ambient excitation can greatly improve the efficiency of high-speed railway bridge vibration detection. This paper first describes the basic principles of stochastic subspace identification, peak-picking, and ...
Jiahuan Li +3 more
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On subspace system identification methods [PDF]
Modeling, Identification and Control, 2022 An open and closed loop subspace system identification algorithm DSRe is compared to competitive open loop algorithms, DSR, and N4SID. Additionally, DSRe is compared vs the optimal Prediction Error Method (PEM).
Christer Dalen, David Di Ruscio
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Closed-Loop Continuous-Time Subspace Identification with Prior Information
Mathematics, 2023 This paper presents a closed-loop continuous-time subspace identification method using prior information. Based on a rational inner function, a generalized orthonormal basis can be constructed, and the transformed noises have ergodicity features.
Miao Yu, Wanli Wang, Youyi Wang
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Applied Sciences, 2021 A method of modal parameter identification of structures using reconstructed displacements was proposed in the present research. The proposed method was developed based on the stochastic subspace identification (SSI) approach and used reconstructed ...
Xiangying Guo +3 more
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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, 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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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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