Experimental evaluation of a modal parameter based system identification procedure

Yu, Minli; Nan, Feng; Hahn, E. J.

doi:10.1016/j.ymssp.2015.06.024

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Noor Fadhilah Mat Ros, Mohd Sazli Saad, Mohd Zakimi Zakaria, Intan Zaurah Mat Darus as flexible single link system [11], automotive engine fuelled [12], internal combustion engine [13], rotor bearing foundation system [14], control of gas bearings [15] and turbojet engine [16]. From the review, system identification is obviously seen to be used successfully in modeling of any system and becomes one of the preferred methods.…”

Section: Modeling Of Flexible Beam Using Systemmentioning

confidence: 99%

Modeling of Flexible Beam Using System Identification Approach

2017

ICDET-17, FABMS-17, RIECAE-17, RTET-17, ABMS-17 Feb. 2017

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Abstract-This paper presents the modeling of the flexible beam using system identification method. Due to great attention of flexible structures in most applications, vibration becomes the main problem regarding the dynamic of the structures. In controlling vibration, the system necessarily needs a good model. Therefore, the aim of the work described in this paper is to obtain a dynamic model of the flexible beam. By considering a discrete time form for the system, an autoregressive with exogenous input (ARX) model structures was selected. A square wave signal has been used as an input signal to excite the beam in order to collect input-output data from the experiment. Recursive least square (RLS) estimation algorithm is used to estimate the model parameters based on different model orders. The model validation was done by comparing the measured output against the predicted output in terms of the closeness of both outputs via mean square error (MSE) value. The final result shows the model with the 12th order has the lowest error.

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Section: Modeling Of Flexible Beam Using Systemmentioning

confidence: 99%

Modeling of Flexible Beam Using System Identification Approach

2017

ICDET-17, FABMS-17, RIECAE-17, RTET-17, ABMS-17 Feb. 2017

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“…Errors of up to 82% in the natural frequencies with respect to the Euler-Bernoulli beam and different configurations of point masses, inertias and springs, were shown. In a more recent work by M. Yu et al,56 …”

mentioning

confidence: 94%

Oversampled Modal Approach of a Turbocharger Rotor from the Experimental Lateral Vibrations

Montoya¹,

Rodriguez²,

Mejía³

2019

The International Journal of Acoustics and Vibration

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The elements of rotors have inherent characteristics as geometry and material composition, which causes natural vibrations at frequencies that, due to the rotor unbalance, may coincide with the harmonics of the shaft speed, increasing stress and the probability of fractures even in transient conditions. Therefore, in this work, a theoretical-experimental hybrid method for calculating the natural frequencies and the mode shapes, at rest and non-supported conditions, of a turbocharger rotor is proposed. Firstly, a discrete model of low number of degrees of freedom is considered, and from an oversampled modal approach (OSMA) based on the axial oversampling, sectioning and coupling of the rotor, it is possible to use the oversampled mode shapes to increase the degrees of freedom of the system without major complications in the model. This spatial oversampling criterion is based on the Nyquist-Shannon theorem, and it is used to reduce the error in the estimates of the natural frequencies and to get a first approximation of the mode shapes. The natural frequencies were estimated by the transfer matrix method (TMM) and finite element method (FEM) in order to compare the proposed model results with well-founded numerical methods.

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