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Quantitative evaluation method of arc sound spectrum based on sample entropy
Yao P; Zhou K(周亢); Zhu Q; Zhou, K (reprint author), Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100864, Peoples R China.
Source PublicationMECHANICAL SYSTEMS AND SIGNAL PROCESSING
2017-04-01
Volume92Pages:379-390
ISSN0888-3270
AbstractArc sound analysis is an effective way to evaluate the stability of the arc welding process. Current methods cannot effectively quantify the disorder of the process. By studying the characteristics of the arc sound signal we found that low frequency random mutation of arc sound power resulted from unstable factors such as splashes or short circuits increased the complexity and randomness of the arc sound signals. Then the arc sound signals were visualized on time -frequency interface by means of spectrogram and it was found that the max power spectral density (PSD) distribution of spectrogram was closely related to the stability of arc welding process. Moreover a method based on sample entropy was proposed to further quantify the relation. Finally considering the factors such as averages of max PSD and the standard deviations of sample entropy a compound quantitative evaluation indicator arc sound sample entropy (ASSE) which can avoid the influence of different parameters on the quantitative results was proposed so that the stability of arc welding process can be quantitatively presented. Testing results showed that the accuracy rate of the method was more than 90 percent. (C)2017 Elsevier Ltd. All rights reserved.
KeywordArc Sound Signal Sample Entropy Psd Asse
DOI10.1016/j.ymssp.2017.01.016
Indexed BySCI ; EI
Language英语
WOS IDWOS:000395613100022
WOS KeywordTIME-SERIES ANALYSIS ; APPROXIMATE ENTROPY ; WELDING PROCESS ; COMPLEXITY ; QUANTIFY
WOS Research AreaEngineering
WOS SubjectEngineering, Mechanical
DepartmentLHD微尺度和非平衡流动
Classification一类
Ranking1
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Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/60575
Collection高温气体动力学国家重点实验室
Corresponding AuthorZhou, K (reprint author), Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100864, Peoples R China.
Recommended Citation
GB/T 7714
Yao P,Zhou K,Zhu Q,et al. Quantitative evaluation method of arc sound spectrum based on sample entropy[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2017,92:379-390.
APA Yao P,周亢,Zhu Q,&Zhou, K .(2017).Quantitative evaluation method of arc sound spectrum based on sample entropy.MECHANICAL SYSTEMS AND SIGNAL PROCESSING,92,379-390.
MLA Yao P,et al."Quantitative evaluation method of arc sound spectrum based on sample entropy".MECHANICAL SYSTEMS AND SIGNAL PROCESSING 92(2017):379-390.
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