总结了关联维数和K o lm ogorov熵的计算方法,给出详细的计算步骤,并通过对某型发动机在不同状态下关联维数和K o lm ogorov熵的计算和混沌特性分析,提出一种将关联维数和K o lm ogorov熵结合使用的新的故障诊断手段。实验结果表明:由...总结了关联维数和K o lm ogorov熵的计算方法,给出详细的计算步骤,并通过对某型发动机在不同状态下关联维数和K o lm ogorov熵的计算和混沌特性分析,提出一种将关联维数和K o lm ogorov熵结合使用的新的故障诊断手段。实验结果表明:由于不同故障的动力学产生机制不同,通常也具有不同的关联维数和K o l-m ogorov熵,故关联维数和K o lm ogorov熵可用于故障的特征提取。展开更多
According to the nonlinear theory, the experiments have been conducted on sample ECG (electrocardiogram) signals of healthy human beings, coronary heart disease patients and adult canines. On the basis of the analyses...According to the nonlinear theory, the experiments have been conducted on sample ECG (electrocardiogram) signals of healthy human beings, coronary heart disease patients and adult canines. On the basis of the analyses of the power spectra, the computation of the correlation dimension and the Lyapunov exponent to a large number of ECG signals, the following conclusions are shown: through the comparative research, (1) the analyses of the power spectra, the computation of the correlation dimension and the Lyapunov exponent to the ECG signals reflect the whole dynamic characteristics of the hearts, and they may become a new method of researching ECG quantitatively to an early diagnose of heart disease. (2) Under normal physiological conditions the cardiac activities are chaotic, while under pathologic conditions the cardiac activities approach regularity. (3) On the basis of the comparative research of human beings and canines, it is revealed that chaos may be a quantitative index to measure the evolution展开更多
文摘总结了关联维数和K o lm ogorov熵的计算方法,给出详细的计算步骤,并通过对某型发动机在不同状态下关联维数和K o lm ogorov熵的计算和混沌特性分析,提出一种将关联维数和K o lm ogorov熵结合使用的新的故障诊断手段。实验结果表明:由于不同故障的动力学产生机制不同,通常也具有不同的关联维数和K o l-m ogorov熵,故关联维数和K o lm ogorov熵可用于故障的特征提取。
基金This work was supported by the National Natural Science Foundation of China (Grant No. 69974008)the Chinese Postdoctoral Science Foundation and the Natural Science Foundation of Liaoning Province (Grant No. 972194).
文摘According to the nonlinear theory, the experiments have been conducted on sample ECG (electrocardiogram) signals of healthy human beings, coronary heart disease patients and adult canines. On the basis of the analyses of the power spectra, the computation of the correlation dimension and the Lyapunov exponent to a large number of ECG signals, the following conclusions are shown: through the comparative research, (1) the analyses of the power spectra, the computation of the correlation dimension and the Lyapunov exponent to the ECG signals reflect the whole dynamic characteristics of the hearts, and they may become a new method of researching ECG quantitatively to an early diagnose of heart disease. (2) Under normal physiological conditions the cardiac activities are chaotic, while under pathologic conditions the cardiac activities approach regularity. (3) On the basis of the comparative research of human beings and canines, it is revealed that chaos may be a quantitative index to measure the evolution
