Results 21 to 30 of about 33,160 (233)
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
doaj +1 more source
Characterizing the Dynamic Response of a Chassis Frame in a Heavy-Duty Dump Vehicle based on an Improved Stochastic System Identification [PDF]
, 2015 This paper presents an online method for the assessment of the dynamic performance of the chassis frame in a heavy-duty dump truck based on a novel stochastic subspace identification (SSI) method. It introduces the use of an average correlation signal as
Chen, Zhi +3 more
core +2 more sources
Stochastic Subspace Method for Experimental Modal Analysis
MATEC Web of Conferences, 2016 The formula of stochastic subspace identification method is deduced in details and the program is written out. The two methods are verified by a vibration test on a 5-floor rigid frame model.
Liu Dazhi +5 more
doaj +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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Towards deterministic subspace identification for autonomous nonlinear systems [PDF]
, 2015 The problem of identifying deterministic autonomous linear and nonlinear systems is studied. A specific version of the theory of deterministic subspace identification for discrete-time autonomous linear systems is developed in continuous time.
Astolfi, A, Padoan, A
core +1 more source
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
core +4 more sources
Coherent states and the quantization of 1+1-dimensional Yang-Mills theory [PDF]
, 2000 This paper discusses the canonical quantization of 1+1-dimensional Yang-Mills theory on a spacetime cylinder, from the point of view of coherent states, or equivalently, the Segal-Bargmann transform.
BRIAN C. HALL +5 more
core +4 more sources
Parameter Estimation via Conditional Expectation --- A Bayesian Inversion [PDF]
, 2016 When a mathematical or computational model is used to analyse some system, it is usual that some parameters resp.\ functions or fields in the model are not known, and hence uncertain. These parametric quantities are then identified by actual observations
Litvinenko, Alexander +3 more
core +2 more sources