An improved recognition approach of acoustic emission sources based on matter element

被引:0
|
作者
Jin, Wen [1 ]
Chen, Changzheng [1 ]
Jin, Zhihao [2 ]
Gong, Bin [2 ]
Wen, Bangchun [3 ]
机构
[1] Shenyang Univ Technol, Engn Ctr Diag & Control, Shenyang 110023, Liaoning Prov, Peoples R China
[2] Shenyang Inst Chem Technol, Dept Engn Mech, Shenyang 110142, Peoples R China
[3] Northeastern Univ, Coll Mech Engn & Automat, Shenyang 110016, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
acoustic emission; extension set; matter-element; recognition;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In order to recognize the acoustic emission source with different characteristics, the parameter-ratio method was put forward to analyze the characteristic parameters of acoustic emission from different source further. According to the peak amplitude, counts, energy and rise-time, the three ratios of the amplitude to the energy difference, the amplitude to the counts difference and the amplitude to the rise-time difference were used as the parameter-ratios. Based on the matter-element of extension theory, a matter-element model was built to describe the characteristics of the acoustic emission. The dependent function and degree of the characteristics of the acoustic sources were introduced to evaluate the possibility of the acoustic sources. The acoustic sources can be recognized, putting forward the recognition rules of parameter-ratio method. The recognition example was taken to validate the parameter-ratio method. It is shown that the parameter-ratio method can recognize the acoustic emission source well.
引用
收藏
页码:1070 / +
页数:3
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