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Title:
Application of short time energy analysis in monitoring the stability of arc sound signal
Author: Yao P; Zhou K(周亢)
Source: MEASUREMENT
Issued Date: 2017-07-01
Volume: 105, Pages:98-105
Abstract: This paper employed the short time energy of arc sound signals to online quantitatively describe the stability of arc sound signal. At first the signal can be preprocessed by wavelet packet filtering and then detailed information of the short time energy of the signal was obtained using hamming window. After statistical analyzed the short time energy the energy distribution possibility and cumulative distribution function of the signal can be collected. Then a proposed stability evaluation criterion was employed to quantitatively describe the stability of arc sound signal. Relative experimental data showed that more stable signal corresponded lager value of the criterion. The proposed method which combined the short time energy and statistical analysis was supported by many actual experiments. This contribution can benefit the quantitative evaluation of the arc welding process and instructed the future parameters optimization to obtain welding products with high quality. (C) 2017 Elsevier Ltd. All rights reserved.
Keyword: Short time energy ; Arc sound signal ; Quantitative evaluation ; Statistical analysis
Language: 英语
Indexed Type: SCI ; EI
DOI: 10.1016/j.measurement.2017.04.015
DOC Type: Article
WOS Subject: Engineering, Multidisciplinary ; Instruments & Instrumentation
WOS Subject Extended: Engineering ; Instruments & Instrumentation
WOS Keyword Plus: CUMULATIVE DISTRIBUTION FUNCTION ; IDENTIFICATION
WOS ID: WOS:000401378400013
ISSN: 0263-2241
Funder: Foundation for Public Welfare Research and Capacity Building Project of Guangdong Province(2015A010104010) ; Natural Science Foundation of Guangdong Province(2015A030313663) ; China Postdoctoral Science Foundation(2016M602461)
Department: LHD微尺度和非平衡流动
First Institution (Yes or Not): false
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Content Type: 期刊论文
URI: http://dspace.imech.ac.cn/handle/311007/60546
Appears in Collections:高温气体动力学国家重点实验室_期刊论文

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Recommended Citation:
Yao P,Zhou K. Application of short time energy analysis in monitoring the stability of arc sound signal[J]. MEASUREMENT,2017-07-01,105:98-105.
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