Chapter 6
Correlation Analysis of Acoustic
Emission Signals at Different Distances
Form Hypervelocity Simulation Damage
Source
Liu Wugang, Hou Chuantao, Wang Long, and Ren Fang
Abstract Acoustic Emission (AE) technology is widely used in many industrial
applications because it can provide the key information from the analysis of damage
signals produced in the materials and the structures. The results from the analysis can
be taken out, such as the source localization, damage modes and severity level of the
material. The characteristics of AE signals can be varied with the different distances
to the damage sources and with the effects of amplitude-frequency response of AE
sensors, the structure types and the frequency dispersion. The material damage evaluation based on the analysis of AE signals can be unreliable. In this paper, AE signals
were generated by hypervelocity impact simulation tests due to these signals without
the effects of AE sensors, degree of coupling and acquisition system, and can be
used to analysis structural effects on the characteristics of those signals. The correlations among the signals from different propagation distances were computed with
algorithm of probability statistics. The results of correlation coefficient variations
were presented. The conclusions can be used to analyses the precision of damage
localization and evaluate the reasonability of failure modes in the materials and the
structures.
6.1 Introduction
Correlation analysis method for signal processing is widely used in Acoustic Emission application. Similarities among the AE signals obtained can be performed with
correlation analysis method which is crucial to detect and extract the characteristics
of AE signals and can be used to localize AE sources [1–6]. The effective signals can
be extracted from the powerful stochastic noises with correlation analysis method
under enough large time delay in various engineering ranges such as communication,
radar detection and fault diagnosis applications [3–5]. Acoustic emission features and
L. Wugang (B) · H. Chuantao · W. Long · R. Fang
Beijing Institute of Structure and Environment Engineering, Beijing 100076, China
e-mail: liuwug@139.com
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
G. Shen et al. (eds.), Advances in Acoustic Emission Technology, Springer Proceedings
in Physics 259, https://doi.org/10.1007/978-981-15-9837-1_6
63
Correlation Analysis of Acoustic
Emission Signals at Different Distances
Form Hypervelocity Simulation Damage
Source
Liu Wugang, Hou Chuantao, Wang Long, and Ren Fang
Abstract Acoustic Emission (AE) technology is widely used in many industrial
applications because it can provide the key information from the analysis of damage
signals produced in the materials and the structures. The results from the analysis can
be taken out, such as the source localization, damage modes and severity level of the
material. The characteristics of AE signals can be varied with the different distances
to the damage sources and with the effects of amplitude-frequency response of AE
sensors, the structure types and the frequency dispersion. The material damage evaluation based on the analysis of AE signals can be unreliable. In this paper, AE signals
were generated by hypervelocity impact simulation tests due to these signals without
the effects of AE sensors, degree of coupling and acquisition system, and can be
used to analysis structural effects on the characteristics of those signals. The correlations among the signals from different propagation distances were computed with
algorithm of probability statistics. The results of correlation coefficient variations
were presented. The conclusions can be used to analyses the precision of damage
localization and evaluate the reasonability of failure modes in the materials and the
structures.
6.1 Introduction
Correlation analysis method for signal processing is widely used in Acoustic Emission application. Similarities among the AE signals obtained can be performed with
correlation analysis method which is crucial to detect and extract the characteristics
of AE signals and can be used to localize AE sources [1–6]. The effective signals can
be extracted from the powerful stochastic noises with correlation analysis method
under enough large time delay in various engineering ranges such as communication,
radar detection and fault diagnosis applications [3–5]. Acoustic emission features and
L. Wugang (B) · H. Chuantao · W. Long · R. Fang
Beijing Institute of Structure and Environment Engineering, Beijing 100076, China
e-mail: liuwug@139.com
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
G. Shen et al. (eds.), Advances in Acoustic Emission Technology, Springer Proceedings
in Physics 259, https://doi.org/10.1007/978-981-15-9837-1_6
63