Experimental investigations into the propagation of acoustic emission signals from particle impacts along a waveguide

Hu, Yonghui; Zhang, Guoqiang; Yan, Yong

doi:10.1016/j.sna.2021.112651

Cited by 5 publications

(2 citation statements)

References 19 publications

(16 reference statements)

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“…Most materials will exhibit acoustic emission phenomena when undergoing physical deformation or fracture. The detection process of AE signals essentially involves a series of energy generation, propagation, and reception in the form of elastic stress waves [11]. When acoustic emission occurs inside the material, elastic stress waves will be emitted at the location of the AE source and propagate outward through the medium, resulting in vibration displacement on the medium surface.…”

Section: Principle Of Ae Detectionmentioning

confidence: 99%

Strain clamp condition monitoring for transmission lines based on acoustic emission signals

Zhang,

Zhu,

et al. 2024

J. Phys.: Conf. Ser.

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To ensure the reliability and safety of the power supply in the electric system, it is significant to realize the strain clamp condition monitoring for transmission lines. A strain clamp vibration test rig was designed and built to collect acoustic emission (AE) signals generated by strain clamps with an excitation frequency of 30, 50, 70, 90, and 110 Hz, respectively. The characteristics of the collected AE signals are then analyzed in the time domain and time-frequency domain. The results of the signal analysis in the time domain show that, the increasing excitation frequency leads to a higher amplitude of the AE signal, and the signal period is consistent with that of the excitation. Meanwhile, both the root-mean-square (RMS) and the average signal level (ASL) of the AE signal increase continuously with the excitation frequency, of which the growth trends are different. Additionally, the results of the signal analysis in the time-frequency domain also show that the signal spectrum is mainly concentrated in the range of 30 kHz to 200 kHz at different excitation frequencies and the increasing excitation frequency significantly leads to more high-frequency components in the AE signal.

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Section: Principle Of Ae Detectionmentioning

confidence: 99%

Strain clamp condition monitoring for transmission lines based on acoustic emission signals

Zhang,

Zhu,

et al. 2024

J. Phys.: Conf. Ser.

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“…Literature that was concerned about higher crack rates and degrees of crack plasticity suggested that the extent of crack tip plasticity becomes indispensable where an increase in the size of the plastic zone occurs [31][32][33] as in low-cycle fatigue or with semi-ductile substrates. Hence, impact could be a significant damage source in different mechanical processes, and AE monitoring for such damage potential is crucial for the safety and establishment of structural systems [34][35][36][37]. Prosser et al [38] studied the released AE occurred by an impact of two projectile types on an aluminum and graphite/epoxy composites plate.…”

Section: Introductionmentioning

confidence: 99%

Investigations of AE Signals Emitted From Dropped Indenter on Steel Pipes’ Surface

et al. 2021

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Acoustic emission (AE) are stress waves created by the material deformation, which could be utilized to detect impacts of objects within different mechanical systems. In a mechanical system, impacts from dropped masses are pertinent to realistic wave sources where is to improve precision of source location in real situation. As such, work is required in order to experimentally evaluate the distortions of AE signals using a set of impacts tests. A series of source intensities were simulated on a steel pipe also the effects of signal type and intensity on the frequency and time domain features were determined. In order to locate and reconstitute the time-and frequency-domain signatures of the AE source, sensors were mounted externally on segments of the tested pipes. It is concluded that the AE energy was easily affected by the location of the indenter shape/geometry. This study demonstrated the significant features and the capability of AE associated with real sources for evaluating and determining the intensity, nature and the position of the damaging events.

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Identification method of internal leakage in nuclear power plants valves using convolutional block attention module

Huang,

Qu,

Xiao

2024

Nuclear Engineering and Design

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Experimental investigations into the propagation of acoustic emission signals from particle impacts along a waveguide

Cited by 5 publications

References 19 publications

Strain clamp condition monitoring for transmission lines based on acoustic emission signals

Strain clamp condition monitoring for transmission lines based on acoustic emission signals

Investigations of AE Signals Emitted From Dropped Indenter on Steel Pipes’ Surface

Identification method of internal leakage in nuclear power plants valves using convolutional block attention module

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