The information of acoustic emission (AE) signal’s arrival time is very important for event location, event identification and source mechanism analysis. In practice, the manual picks and amplitude threshold are routinely used to determine the arrival time of AE. To improve the defect of commonly used method, in this paper, the first arrival time of AE signals are automatically determined through combining AR model of the noise with the acoustic emission signal and based on Akaike’s information criterion (AIC). The results show that the proposed method is sensitive to change of amplitude-frequency characteristics in contrast to amplitude threshold method. When the signal-to-noise ratio (SNR) is in the same value, the error of this approach is less than that of threshold detections. Especially, when the SNR is so law that the detection of threshold will be wrong, however the results of this approach are still well.
王晓伟;刘占生;窦 唯. 基于AR模型的声发射信号到达时间自动识别[J]. , 2009, 28(11): 79-83.
WANG Xiao-wei;LIU Zhan-sheng;DOU Wei. ARRIVAL TIME AUTOMATIC IDENTIFICATION OF ACOUSTIC EMISSION SIGNAL BY MEANS OF AR MODEL . , 2009, 28(11): 79-83.