绳子
算法
混乱的
非线性系统
钢丝绳
相空间
计算机科学
关联维数
控制理论(社会学)
信号(编程语言)
信号重构
维数(图论)
信号处理
数学
人工智能
分形维数
物理
工程类
数学分析
数字信号处理
分形
结构工程
热力学
程序设计语言
纯数学
控制(管理)
量子力学
计算机硬件
作者
Muchao Chen,Yanxiang He
标识
DOI:10.5755/j01.itc.50.4.28105
摘要
Due to the complexity of the interference operation environment of wire rope, the detection signals are usually weak and coupled in time-frequency domain, which makes the defect difficult to recognize, while the signal characterizations in phase space are also needed to be studied. Combining the nonlinear dynamic feature identification theories, phase space characteristics and chaotic features of wire rope defect detection signals are mainly investigated in this paper. First, principles of phase space reconstruction method for wire rope detection signals are presented by the chaotic dynamic indexes calculation of embedded dimension and delay time. Second, the change trends of the correlation dimension, approximate entropy and Lyapunov index of different phase space reconstructed wire rope defect detection signals are studied through the nonlinear simulation and analysis. Finally, a phase space reconstruction algorithm based on improved SVD is proposed, and the new algorithm is also compared with traditional signal processing methods. These results obtained by 6 groups of experiments were also evaluated and compared by the parameters of signal-to-noise ratio (SNR) and phase space trajectory chart, which manifests that the improved algorithm not only can increase the weak detection signal SNR to about 2.3dB of wire rope effectively, but also demonstrate the feasibility of the proposed methods in application.
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