어트랙터 해석을 이용한 AISI 304강 열화 신호의 카오스성 평가 = Evaluation of Chaotic evaluation of degradation signals of AISI 304 steel using the Attractor Analysis

다국어 초록 (Multilingual Abstract)

This study proposes the analysis and evaluation method of time series ultrasonic signal using the chaotic feature extraction for degradation extent.
Features extracted from time series data using the chaotic time series signal analyze quantitatively material degradation extent. For this purpose, analysis objective, in this study, is fractal dimension, lyapunov exponent and strange attractor on hyperspace. The lyapunov exponent is a measure of the rate at which nearby trajectories in phase space diverge. Chaotic trajectories have at least one positive lyapunov exponent. The fractal dimension appears as a metric space such as the phase space trajectory of a dynamical system. In experiment, fractal(correlation) dimensions and lyapunov exponents showed values of mean 3.837∼4.211 and 0.054∼0.078 in case of degradation material.
The proposed chaotic feature extraction in this study can enhances ultrasonic pattern recognition results from degradation signals.