Results 21 to 30 of about 3,141,474 (179)
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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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
Output-only modal identification of tensegrity structures
Engineering Structures and Technologies, 2016 Tensegrity systems are a special class of spatial reticulated structures that are composed of struts in compression and cables in tension. In this paper, the performance of stochastic subspace algorithms for modal identification of complex tensegrity ...
Miniar Attig +2 more
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Shock and Vibration, 2021 Modal parameter identification is considered to be one of the most important tasks in structural health monitoring because it provides a reliable reference for structural vibration control, damage severity, and operational state.
Peng Wen +3 more
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Applied Sciences, 2023 An automated operational modal analysis (AOMA) method that considers the uncertainty in modal parameters is presented and data acquired from actual bridges are used to validate it.
Keunhee Cho, Jeong-Rae Cho
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Model-free optimal anti-slug control of a well-pipeline-riser in the K-Spice/LedaFlow simulator [PDF]
Modeling, Identification and Control, 2015 Simplified models are developed for a 3-phase well-pipeline-riser and tested together with a high fidelity dynamic model built in K-Spice and LedaFlow. These models are developed from a subspace algorithm, i.e.
Christer Dalen +2 more
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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
openaire +1 more source
Online Modal Identification of Concrete Dams Using the Subspace Tracking-Based Method
Shock and Vibration, 2019 To investigate the time-varying dynamic characteristics of concrete dams under the excitation of large earthquakes for online structural health monitoring and damage evaluation, an online modal identification procedure based on strong-motion records is ...
Lin Cheng +3 more
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SUBSPACE IDENTIFICATION OF CLOSED LOOP SYSTEMS BY STOCHASTIC REALIZATION
IFAC Proceedings Volumes, 2002 Abstract We develop a closed loop subspace identification method based on stochastic realization theory. Using the preliminary orthogonal decomposition of (Picci and Katayama, 1996b) we show that, under the assumption that the exogenous input is feedback-free and persistently exciting (PE), the identification of closed loop systems is divided into ...
KATAYAMA T., KAWAUCHI H., PICCI, GIORGIO
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A new SSI algorithm for LPTV systems: Application to a hinged-bladed helicopter [PDF]
, 2014 Many systems such as turbo-generators, wind turbines and helicopters show intrinsic time-periodic behaviors. Usually, these structures are considered to be faithfully modeled as linear time-invariant (LTI).
Jhinaoui, Ahmed +2 more
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