Parameter identification for a single-degree-of-freedom system using autoregressive moving average model: Application to cutting system

Baek, Dae Kyun; Ko, Tae Jo; Kim, Hee Sool

doi:10.1016/j.jsv.2006.01.022

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…e ARMA time series analysis method is a method for describing the ordered random vibration data by using model parameters, thereby obtaining system parameters; the details of this method being available in the literature [36,37]. e parametric model includes an autoregressive (AR) model and a moving average (MA) model.…”

Section: Arma Time Series Analysis Methods For Solving Systemmentioning

confidence: 99%

A Novel Method to Reduce the Laser Drilling Time for Hole Cluster considering the Influence of Residual Vibration of the Sample Stage

Wang¹,

Liu²,

Mei³

et al. 2020

Shock and Vibration

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In large areas of laser drilling, the residual vibration occurs when the sample stage moves in PTP (Point to Point) movement. It affects the surface quality and processing efficiency of the holes. The common solution for this problem is to set the laser irradiation delay time by the controller to wait for the residual vibration attenuation, but the whole drilling circle will increase. In this paper, a new method is introduced to reduce the laser drilling circle. By setting the allowable threshold of the residual vibration for the subsequent process, the sum of the time in deceleration segment of the trapezoidal moving profile, and the time when the residual vibration attenuates below the amplitude threshold (ST) can be minimized as the optimization goal. The results show that for a given operating speed, there is always an optimum acceleration value for the deceleration segment of the trapezoidal moving profile, which minimizes the ST value. Further, the delay time for laser irradiation can also be estimated according to the optimal acceleration during laser drilling.

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Section: Arma Time Series Analysis Methods For Solving Systemmentioning

confidence: 99%

A Novel Method to Reduce the Laser Drilling Time for Hole Cluster considering the Influence of Residual Vibration of the Sample Stage

Wang¹,

Liu²,

Mei³

et al. 2020

Shock and Vibration

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show abstract

“…System identification technology has been widely used in aerospace, mechanical engineering, and other fields. Through system identification, the dynamic parameters of the structure can be obtained to provide conditions for equipment state detection and vibration suppression (Baek et al, 2006). In the field of machine tool processing, obtaining the dynamic parameters of the worktable helps to better control the dynamic characteristics of the worktable during the processing of the machine tool, resulting in the processing quality and efficiency improvement.…”

Section: Introductionmentioning

confidence: 99%

Genetic algorithm for dynamic parameters estimation of the machine tool worktable using the residual vibration signal

Wang

Liu

Mei

et al. 2021

Journal of Vibration and Control

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In this article, the residual vibration signal of the worktable of the machine tool is used to identify its dynamic parameters. By analyzing the time-domain characteristics of the residual vibration signal, it is found that the signal has the similar attenuation characteristics to the impulse response of the second-order underdamped system, so a new method for identifying the dynamic parameters of the worktable is proposed. In this method, the impulse response model of the second-order underdamped system is used to describe the residual vibration signal, so the parameter identification problem based on the time-domain signal is transformed into the optimization problem of the model parameters. Then, the dynamic parameters can be determined by using the genetic algorithm. The results of the genetic algorithm are compared with the results of the autoregressive moving average method, which is a commonly used parameter identification method based on the time-domain signal. It was found that the results of the model-based method proposed in this article are more accurate than the autoregressive moving average method.

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Sprung Mass Identification of Suspension in a Simplified Model

Tang

Ding

et al. 2014

SAE Technical Paper Series

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Parameter identification for a single-degree-of-freedom system using autoregressive moving average model: Application to cutting system

Cited by 3 publications

References 16 publications

A Novel Method to Reduce the Laser Drilling Time for Hole Cluster considering the Influence of Residual Vibration of the Sample Stage

A Novel Method to Reduce the Laser Drilling Time for Hole Cluster considering the Influence of Residual Vibration of the Sample Stage

Genetic algorithm for dynamic parameters estimation of the machine tool worktable using the residual vibration signal

Sprung Mass Identification of Suspension in a Simplified Model

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