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Modal Parameter Identification of Electric Spindles Based on Covariance-Driven Stochastic Subspace
MachinesElectric spindles are a critical component of numerically controlled machine tools that directly affect machining precision and efficiency. The accurate identification of the modal parameters of an electric spindle is essential for optimizing design ...
Wenhong Zhou +5 more
doaj +2 more sources
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
wiley +1 more source
Buildings, 2022 With the advantage of non-contact measurement, ground-based synthetic aperture radar (GB-SAR) has been widely used to obtain the dynamic deflection of various bridges.
Xianglei Liu +4 more
semanticscholar +1 more source
Structural Control & Health Monitoring, 2022 The roof of a large‐span structure is vulnerable to strong winds, and thus, wind‐induced damage of the roof happens occasionally. Structural condition assessment from structural health monitoring (SHM) data provides a good means to analyze the structural
Xuan Liu, H. Wan, Yaozhi Luo, Chao Yang
semanticscholar +1 more source
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
openaire +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +1 more source
Applied Sciences, 2022 Estimating the dynamic characteristics of instrumented built structures from seismic vibration data collected from built civil structures is essential input information for structural model updating and assessing the health of structures.
Fernando Fuentes +4 more
semanticscholar +1 more source
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
doaj +1 more source