Nonlinear Time Series Analysis of Avalanching Granular Flow Data

Chris Aldrich; Jacques Olivier

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Nonlinear Time Series Analysis of Avalanching Granular Flow Data

机译：雪崩颗粒流量数据的非线性时间序列分析

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Dry cohesive granular flow can show pronounced nonlinear behaviour, which needs to be identified prior to the design of bulk solids handling systems. Laboratory tests yield time series data representing the flow behaviour of granular systems, but widely accepted analytical procedures for these systems have not been established yet. In this paper, the premise that avalanching flow yields nonlinear time series that can be identified by surrogate data methods is investigated. Preliminary results indicate that powder systems with a high propensity for avalanching yield nonlinear data and conversely, powder systems exhibiting good flow properties tend to yield linear time series data that can be identified by amplitude adjusted Fourier transform surrogate data methods.

机译：干粘性粒度可以显示明显的非线性行为，需要在设计散装固体处理系统之前识别。实验室测试屈服时间序列数据代表粒状系统的流动行为，但尚未建立这些系统的分析程序。本文研究了雪崩流量产生非线性时间序列，可以通过替代数据方法识别的非线性时间序列的前提。初步结果表明，具有高抗抗原产量非线性数据的粉末系统，相反，表现出良好的流动性能的粉末系统倾向于产生可以通过幅度调整的傅里叶变换代理数据方法识别的线性时间序列数据。

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《IFAC PapersOnLine》 |2019年第14期|共6页
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Chris Aldrich; Jacques Olivier;
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Dynamic Process MonitoringConvolutional Neural NetworksGranular FlowAvalanching Powder Flow;

机译：动态过程监测volutional Neural Networksgranular FlowAvancanching粉末流量;

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1. DYNAMIC BEHAVIOR OF BUOYANCY-INDUCED FLAME OSCILLATION UNDER SWIRLING FLOW BY A USE OF NONLINEAR TIME SERIES ANALYSIS IN COMBINATION WITH SURROGATE DATA METHOD [J] . Hiroshi Gotoda, Yuta Asano, Keng Hoo Chuah, Combustion Science and Technology . 2010,第10a12期

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2. Nonlinear analysis of magnetospheric data Part I. Geometric characteristics of the AE index time series and comparison with nonlinear surrogate data [J] . Pavlos G. P., Athanasiu M. A., Kugiumtzis D., Nonlinear Processes in Geophysics Discussions . 1999,第1期

机译：磁层数据的非线性分析第一部分：AE指数时间序列的几何特征及其与非线性替代数据的比较
3. Nonlinear analysis of magnetospheric data Part II. Dynamical characteristics of the AE index time series and comparison with nonlinear surrogate data [J] . Pavlos G. P., Kugiumtzis D., Athanasiu M. A., Nonlinear Processes in Geophysics Discussions . 1999,第2期

机译：磁层数据的非线性分析第二部分。 AE指数时间序列的动力学特征及其与非线性替代数据的比较
4. Nonlinear Time Series Analysis of Avalanching Granular Flow Data [C] . Chris Aldrich, Jacques Olivier IFAC Symposium on Control, Optimization and Automation in Mining, Minerals and Metal Processing . 2020

机译：雪崩颗粒流量数据的非线性时间序列分析
5. A novel approach to the analysis of nonlinear time series with applications to financial data. [D] . Lee, Jun Bum. 2012

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6. The impact of nonlinear exposure-risk relationships on seasonal time-series data: modelling Danish neonatal birth anthropometric data [O] . John McGrath, Adrian Barnett, Darryl Eyles, 2007

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7. Nonlinear analysis of magnetospheric data Part II. Dynamical characteristics of the AE index time series and comparison with nonlinear surrogate data [O] . Pavlos G. P., Kugiumtzis D., Athanasiu M. A., 1999

机译：磁层数据的非线性分析第二部分。 AE指数时间序列的动力学特征及其与非线性替代数据的比较
8. Physics, Nonlinear Time Series Analysis, Data Assimilation and Hyperfast Modeling of Nonlinear Ocean Waves [R] . Osborne, A. R. 2010

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Nonlinear Time Series Analysis of Avalanching Granular Flow Data

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