Related Experiment Video
Updated: Sep 17, 2025

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
Published on: January 10, 2025
Low signal-to-noise ratio acoustic emission signal arrival time identification method based on fractal dimension
Weigang Zhao1, Shunli Jiang2, Haoran Li1
1School of Safety Engineering and Emergency Management, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.
Abstract:
To enhance the accuracy of acoustic emission (AE) signal arrival time identification in low signal-to-noise ratio environments, this study introduces a method integrating the fractal dimension ratio and AR-AIC algorithm. The fractal dimension ratio is employed to estimate the potential arrival time range, while AR-AIC further refines the estimation to determine the precise arrival time. Pencil lead break (PLB) experiments were conducted on concrete specimens to evaluate the proposed method under various conditions, including high and low signal-to-noise ratios, indistinct arrivals, and low-amplitude signals. A comprehensive comparison with traditional threshold, STA/LTA, and AR-AIC algorithms was performed, along with an assessment of localization accuracy. Experimental results indicate that the proposed approach effectively mitigates the influence of signal-to-noise ratio and amplitude on arrival time identification. Compared to conventional methods, the localization error was reduced by 47%, 23%, and 17%, respectively. These findings demonstrate the effectiveness of the proposed method in enhancing AE signal arrival time identification and source localization in complex environments.
More Related Videos
Related Concept Videos
Aliasing
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
Atomic Fluorescence Spectroscopy
Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation
There are three main types of inductively coupled plasma atomic emission spectroscopy (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used....
Atomic Emission Spectroscopy: Lab
Echo
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...

