Chaotic time series analysis provides a new approach to analyzing, examining and diagnosing dynamics system, and resolves problem according to the essence of chaos dynamics signals.

而混沌时间序列分析为动力学系统的非线性信号分析、检测及诊断提供了一条全新的途径，着眼于从混沌动力学系统的本质去解决问题。

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Time delay method was used to reconstruct the phase space of underwater noise time series based on nonlinear dynamics theory.

以非线性动力学理论中的相空间重构理论为基础，利用延时法对水下噪声时间序列信号进行了相空间重构。

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The time series of displacement monitoring data obtained in Maoping landslide of Qingjiang are analyzed by using macroscopic study of nonlinear dynamics method.

利用非线性动力学的宏观研究方法对清江库岸茅坪滑坡的位移时间序列进行了分析，发现滑坡系统在演变过程中存在混沌。

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