An investigation on rail health monitoring using acoustic emission technique by tensile test

被引:0
作者
Zhang, Xin [1 ]
Feng, Naizhang [1 ]
Zou, Zhongxian [1 ]
Wang, Yan [1 ]
Shen, Yi [1 ]
机构
[1] Harbin Inst Technol, Dept Control Sci & Engn, Harbin, Peoples R China
来源
2015 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) | 2015年
关键词
rail health monitoring; tensile test; acoustic emission; Chebyshev's inequality;
D O I
暂无
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
In order to detect the health status of high-speed railway, various studies have been examined by Acoustic Emission (AE) method. However, little work has been done on studying the relationship between rail status and features of AE signals, and this relationship can be used to establish a detection criterion for rail health monitoring. This paper presents a methodology on rail health monitoring by AE signals and establishing a detection criterion. AE signals in different safe status are obtained by tensile testing machine and AE data acquisition system. The safe and unsafe region of rail steel is analyzed by stress-strain curve. Based on the Chebyshev's inequality and the variation rate of AE hits, a detection criteria is established to detect the safe status of rail, and the corresponding detection procedure are provided. The results clearly illustrate that the proposed method can detect the safe status of rail effectively.
引用
收藏
页码:1046 / 1051
页数:6
相关论文
共 12 条
[1]   General Chebyshev type inequalities for universal integral [J].
Agahi, Hamzeh ;
Mesiar, Radko ;
Ouyang, Yao ;
Pap, Endre ;
Strboja, Mirjana .
INFORMATION SCIENCES, 2012, 187 :171-178
[2]  
[Anonymous], 2010, J ACOUST EMISS
[3]  
BEER FERDINAND P., 2009, MECHANICS OF MATERIALS, VFifth
[4]   An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection [J].
Bruzelius, K ;
Mba, D .
NDT & E INTERNATIONAL, 2004, 37 (07) :507-516
[6]   Rail flaw detection: overview and needs for future developments [J].
Clark, R .
NDT & E INTERNATIONAL, 2004, 37 (02) :111-118
[7]  
Holroyd T., 2000, The acoustic emission ultrasonic monitoring handbook
[8]  
Hora P., 2010, APPL COMPUTATIONAL M, V4, P25
[9]   Rotational Machine Health Monitoring and Fault Detection Using EMD-Based Acoustic Emission Feature Quantification [J].
Li, Ruoyu ;
He, David .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2012, 61 (04) :990-1001
[10]   Current understanding of mechanisms of acoustic emission [J].
Ono, K .
JOURNAL OF STRAIN ANALYSIS FOR ENGINEERING DESIGN, 2005, 40 (01) :1-15