Online evaluation of metal burn degrees based on acoustic emission and variational mode decomposition
Online evaluation of metal burn degrees based on acoustic emission and variational mode decomposition
复制标题
基于声发射和变分模态分解的金属燃烧程度在线评估
DOI：
10.1016/j.measurement.2017.02.049
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发表时间：
2017-06-01
期刊：
影响因子：
5.6
通讯作者：
Liao, Yuhe
中科院分区：
文献类型：
--
作者：
Gao, Zheyu;Wang, Xiufeng;Liao, Yuhe
金属灼伤是工业实践中经常遇到的问题。不同程度的金属灼伤会对相关部件造成不同程度的损伤。为了准确监测烧伤程度，对声发射烧伤信号进行了研究，给出了整个监测过程。首先，在实验中产生了四种不同程度的表面烧伤，在此过程中采集声发射信号。其次，找出了移频规律。用相变原理对其进行了解释，并用来区分烧伤程度。然后，应用变分模式分解(VMD)方法提取声发射燃烧信号的主频。并通过尺度空间法和抗噪性能比较来选择VMD的输入参数。最后，利用特征参数成功地识别出了金属烧伤的四种程度。(C)2017爱思唯尔有限公司。保留所有权利。
Metal burn is encountered very often in industrial practice. Different degree of metal burn leads to unlike damage to related parts. In order to monitor the burn degrees accurately, AE burn signals are studied and the total process is given in the following steps. Firstly, four different degrees of surface burn are generated in experiment, during which AE signals are collected. Secondly, frequency shift regulation is found. It is explained by the phase transition principle and utilized to distinguish the burn degrees. Then, Variational Mode Decomposition (VMD) method is applied to extract main frequency of AE burn signals. And the input parameters of VMD are selected by scale-space method and comparison of anti-noise performance. Finally, the four degrees of metal burn are recognized by feature parameters successfully. (C) 2017 Elsevier Ltd. All rights reserved.