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Analysis of Nonlinear Systems Using ARMA (Autoregressive Moving Average) Models.

机译：用aRma（自回归滑动平均）模型分析非线性系统。

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While many vibration systems exhibit primarily linear behavior, a significant percentage of the systems encountered in vibration and model testing are mildly to severely nonlinear. Analysis methods for such nonlinear systems are not yet well developed and the response of such systems is not accurately predicted by linear models. Nonlinear ARMA (autoregressive moving average) models are one method for the analysis and response prediction of nonlinear vibratory systems. In this paper we review the background of linear and nonlinear ARMA models, and illustrate the application of these models to nonlinear vibration systems. We conclude by summarizing the advantages and disadvantages of ARMA models and emphasizing prospects for future development. 14 refs., 11 figs.

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作者
Hunter, N. F.;
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年度 1990
页码 1-10
总页数 10
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Mechanical Vibrations; Degrees of Freedom; Nonlinear Problems; Oscillation Modes; Response Functions; Statistical Models; ERDA/657002;

机译：机械振动;自由度;非线性问题;振荡模式;响应函数;统计模型; ERDa / 657002;

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专利

1. Autoregressive (AR) and autoregressive moving average (ARMA) spectral estimation techniques for faster TLM analysis of microwave structures [J] . Eswarappa C., Hoefer W.J.R. IEEE Transactions on Microwave Theory and Techniques . 1994,第12期

机译：自回归（AR）和自回归移动平均（ARMA）频谱估计技术可更快地对微波结构进行TLM分析
2. Evaluation of Moving Average Model and Autoregressive Moving Average Model (ARMA) for Prediction of Industrial Electricity Consumption in Nigeria [J] . Idorenyin Markson, Mfonobong Charles Uko, Aneke Chikezie American Journal of Software Engineering and Applications . 2017,第3期

机译：预测尼日利亚工业用电量的移动平均模型和自回归移动平均模型（ARMA）的评估
3. Time-variant power spectral analysis of heart-rate time series by autoregressive moving average (ARMA) method [J] . V. P. S. NAIDU, M. R. S. REDDY Sadhana: Academy Proceedings in Engineering Science . 2003,第6期

机译：用自回归移动平均（ARMA）方法对心率时间序列进行时变功率谱分析
4. Modeling nonlinear systems by using nonlinear autoregressive moving average models [C] . Seidel, D.K., Davies, . 1990

机译：使用非线性自回归移动平均模型对非线性系统建模
5. AUTOREGRESSIVE MOVING-AVERAGE (ARMA) MODEL IDENTIFICATION FOR DEGENERATE TIME SERIES WITH APPLICATION TO MANEUVERING TARGET TRACKING (STOCHASTIC MODELING, KALMAN FILTER). [D] . SPEAKMAN, NORMAN OWEN. 1985

机译：退化时间序列的自动回归平均（ARMA）模型识别，应用于机动目标跟踪（随机建模，卡尔曼滤波器）。
6. Lactation milk yield prediction in primiparous cows on a farm using the seasonal auto-regressive integrated moving average model nonlinear autoregressive exogenous artificial neural networks and Wood’s model [O] . Wilhelm Grzesiak, Daniel Zaborski, Iwona Szatkowska, 2021

机译：使用季节性回归综合移动平均模型非线性自回归外源神经网络和木材模型的农场乳头奶牛产量预测
7. Time-variant power spectral analysis of heart-rate time series by autoregressive moving average (ARMA) method [O] . V P S Naidu, M R S Reddy 2003

机译：自回归移动普通（ARMA）方法的心率时间序列时变功率谱分析
8. Estimation of Time Series Models. Part I. Yet another Algorithm for the Exact Likelihood of ARMA (Autoregressive-Moving Average) Models. [R] . Tunnicliffe-Wilson, G. 1983

机译：时间序列模型的估计。第一部分aRma（自回归 - 移动平均）模型精确似然的另一种算法。

Analysis of Nonlinear Systems Using ARMA (Autoregressive Moving Average) Models.

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