The Singularity Detection of Stress Wave Signal in One-dimensional Components Based on Quantitative Information Entropy

Abstract

According to existing methods of singularity detection in stress wave signal, raise and define the quantitative information entropy and the mean vector model of Information entropy, the definitions are based on probability theory and mathematical statistical theory and information entropy, Define the method of singularity detection based on the quantitative information entropy. This method is tested and simulated using stress wave of pile detection and compared with the modulus maxima method. The experimental results show that the quantitative information entropy method has advantages in anti-noise performance and can achieve a high accuracy and locations information compared with the modulus maxima method. In the quantitative information entropy method, multidimensional signal is processed by dimensionality reduction and can be widely applied to various research fields, such as fingerprint identification and facial identification.