Open AccessWire Rope Weak Defect Signal Processing Methods Based on Improved SVD and Phase Space Reconstruction
Author(s) -
Muchao Chen,
Yanxiang He
Publication year - 2021
Publication title -
informacinės technologijos ir valdymas
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.286
H-Index - 19
eISSN - 2335-884X
pISSN - 1392-124X
DOI - 10.5755/j01.itc.50.4.28105
Subject(s) - rope , algorithm , chaotic , nonlinear system , wire rope , phase space , computer science , correlation dimension , control theory (sociology) , signal (programming language) , signal reconstruction , dimension (graph theory) , signal processing , mathematics , artificial intelligence , fractal dimension , physics , engineering , mathematical analysis , digital signal processing , fractal , structural engineering , control (management) , quantum mechanics , pure mathematics , computer hardware , thermodynamics , programming language
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.