Study on signal analysis technology of tank acoustic emission testing

doi:10.16265/j.cnki.issn1003-3033.2019.06.026

Abstract

Abstract: In order to improve the accuracy of post-test evaluation of tanks by non-expert inspectors and comprehensively analyze those common types of noise, an acoustic emission signal processing method based on wavelet analysis and pattern recognition was proposed The experiment of Q235B three-point bending sandpaper rub, rubber handle percussion and electric noise was designed, and the experimental data of new acoustic emission waveform feature analysis were collected to obtain different kinds of signal characteristics. Finally, the large sample data was cluster analyzed to distinguish different types of sound sources based on the proposed signal processing method and the new feature quantity. The results show that the proposed method can quantitatively reflect the sudden burst of acoustic emission waveforms and identify the signal type of acoustic emission; it is also found to be able to extract typical features of valid acoustic emission signals and preserve key frequency band wavelet coefficients to reconstruct waveforms, thus making it suitable for acoustic emission testing of tanks.

Key words: Q235B, acoustic emission, wavelet analysis, storage tank, cluster analysis

CLC Number:

X944

SHEN Shuqian, LI Wei. Study on signal analysis technology of tank acoustic emission testing[J]. China Safety Science Journal, 2019, 29(6): 158-164.

References

[1] 杨瑞峰,马铁华.声发射技术研究及应用进展[J].中北大学学报:自然科学版,2006,27(5),456-461.
YANG Ruifeng, MA Tiehua. A study on the applications of acoustic emission technique[J]. Journal of North University of China:Natural Science Edition,2006,27(5): 456-461.
[2] YUYAMA S, YOKOYAMA K,NIITANI K,et al. Detection and evaluation of failures in high- strength tendon of prestressed concrete bridges by acoustic emission[J]. Construction and Building Materials, 2007, 21(3): 491-500.
[3] FRICKER S, VOGEL T. Site installation and testing of a continuous acoustic monitoring [J]. Construction and Building Materials, 2007, 21(3): 501-510.
[4] CARPINTERI A, LAEIDOGNA G. Damage monitoring of an historical masonry building by the acoustic emission technique [J]. Materials and Structures, 2007, 39(2): 161-167.
[5] 崔岩,李小仰,彭华新,等.基于声发射小波分析的非连续增强金属基复合材料界面表征[J].科学通报,1998,43(6):656-657.
CUI Yan, LI Xiaoyang, PENG Huaxin, et al. Interface characterization of discontinuous enforcement metal matrix composite based on wavelet analysis[J]. Science Bulletin, 1998,43(6): 656-657.
[6] 沈功田.压力容器声发射信号的模式识别分析[C].第八届全国声发射学术研讨会论文集,1999: 78-90.
[7] 耿荣生,沈功田,刘时风.声发射信号处理和分析技术[J].无损检测,2002,24 (1):23-28.
GENG Rongsheng, SHEN Gongtian, LIU Shifeng. An overview on the development of acoustic emission signal processing and analysis technique[J]. Journal of Non-destructive Testing, 2002, 24(1): 23-28.
[8] JB/T10764—2007,无损检测常压金属储罐声发射检测及评价方法[S].
JB/T10764-2007,Non-destructive testing acoustic emission testing and evaluation method of atmospheric vertical metal tank[S].
[9] 陈志奎.工程信号处理中的小波基和小波变换分析仪系统的研究[D].重庆:重庆大学,1998.
CHEN Zhikui. Study on wavelet basis and wavelet transform analyser system in engineering signal processing[D].Chongqing: Chongqing University, 1998.
[10] 杨建国.小波分析及其工程应用[M].北京:机械工业出版社,2005:116-119.
[11] 李浩然,吴超仲,褚端峰,等.基于K均值聚类的高速公路汽车碰撞事故分析[J].中国安全科学学报,2013,23(11): 91-96.
LI Haoran, WU Chaozhong, CHU Duanfeng, et al. Statistical analysis of car crash on freeways based on K-means clustering[J]. China Safety Science Journal, 2013,23(11): 91-96.

[1]	ZHANG Ran, LIU Jie, SA Zhanyou, CHENG Jianwei, LU Shouqing, WANG Chunyuan. Critical slowing down characteristics of acoustic emission of gas bearing coal under unloading conditions [J]. China Safety Science Journal, 2021, 31(9): 128-134.
[2]	CHEN Changkun, WANG Xiaoyong, LEI Peng. Injury severity assessment of wounded based on cluster analysis and PCA [J]. China Safety Science Journal, 2021, 31(8): 189-196.
[3]	WU Xin, WANG Xuemei, LUO Xiaoyu, ZHU Xu, LIN Huali. Analysis of AE parameters of waveguide rod at different loading rates under three-point bending [J]. China Safety Science Journal, 2021, 31(10): 159-166.
[4]	CUI Cunyan, LIU Ningyuan, DUAN Yongsheng, TONG Jiang. Fast estimation method of UDMH diffusion concentration in long storage warehouse [J]. China Safety Science Journal, 2021, 31(1): 109-115.
[5]	ZHANG Ying, GAO Junwei, ZHU Zidong, LIU Shi, ZHANG Xiao. Immersion acoustic detection method of large storage tank bottom plates and prototype design [J]. China Safety Science Journal, 2020, 30(8): 31-36.
[6]	ZHANG Zhiyu, ZHU Neng. Classification of 16 hot and humid environments [J]. China Safety Science Journal, 2020, 30(5): 184-190.
[7]	ZHOU Hua, ZHANG Qiaoyu, MU Yaoyao, TAN Zhengping, SUN Qing, ZHANG Daowen. Clustering and deduction of typical dangerous scenarios between passenger vehicles and two-wheelers at crossroads [J]. China Safety Science Journal, 2020, 30(4): 100-107.
[8]	ZHANG Ying, ZHANG Xiao, ZHU Zidong, DANG Na, CHEN Xiaolong. Immersion acoustic positioning method of corrosion for large tank bottom plate [J]. China Safety Science Journal, 2020, 30(3): 35-40.
[9]	SONG Gaofeng, ZHANG Yanbing, SUN Peipei, SHEN Shuoxun, WANG Zhirong. Safety evaluation method based on acoustic emission technology for large-scale storage tanks [J]. China Safety Science Journal, 2020, 30(3): 60-66.
[10]	ZHAO Aohan, MA Yankun, LIU Jian, CHEN Dezhong, YUAN Hongyong, FU Ming. Energy characteristics of AE signal frequency band during coal rupture in mines with gas [J]. China Safety Science Journal, 2020, 30(3): 115-121.
[11]	SHI Lei, SHUAI Jian, XU Kui, YANG Wen. Impacts of foundation settlement and pseudo-dynamic load on buckling strength of storage tanks [J]. China Safety Science Journal, 2019, 29(11): 116-121.
[12]	HAO Xiaoxiao, HU Jinqiu, LIU Wencai, NIU Yun. Analysis of fluctuating-wind-induced deformation response ofopen-topped cylindrical steel storage tanks [J]. China Safety Science Journal, 2018, 28(6): 110-115.
[13]	WANG Yuhong, LIU Lulu, FU Hua, XU Yaosong. Research on acoustic emission multi-parameter time series based prediction of gas outburst [J]. China Safety Science Journal, 2018, 28(5): 129-134.
[14]	SONG Xiaomiao, YANG Jianfeng, CHEN Liangchao, WANG Yuqi. Application of grey multi-hierarchy comprehensive evaluationmethod in failure probability assessment of storage tanks [J]. China Safety Science Journal, 2018, 28(11): 156-161.
[15]	BAI Runcai, CHAI Senlin, LIU Guangwei, LI Haoran, ZHANG Jing. Method for predicting truck's failure rate in open-pit mine based on Mallat algorithm and ARMA model [J]. China Safety Science Journal, 2018, 28(10): 31-37.