J. Wang, A. Zhang, Le Ren, D. Chang, Jing Ma, Qianyu He
{"title":"一种焊接电信号的预处理方法","authors":"J. Wang, A. Zhang, Le Ren, D. Chang, Jing Ma, Qianyu He","doi":"10.1109/IAI53119.2021.9619388","DOIUrl":null,"url":null,"abstract":"a preprocessing method is proposed for welding electrical signals based on Variational Mode Decomposition (VMD) and Hilbert marginal spectrum. This method solves the problem of poor quality of welding electric signal caused by multifactor interference, especially high frequency interference of inverted power source. In this paper, an acquisition system of the electrical signals of ultra-narrow gap welding was constructed to obtain the electrical signals of welding arc and resistance box load. Based on analyzing the signal characteristics, the signals were decomposed by VMD, and then Hilbert marginal spectrum was used for comparative analysis to filter out the interference noise and realize the preprocessing of welding electrical signal. The results show the proposed method can effectively eliminate the noise while retaining the valuable high-frequency components in the signal, which improves the authenticity of the signal.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A preprocessing method of welding electrical signal\",\"authors\":\"J. Wang, A. Zhang, Le Ren, D. Chang, Jing Ma, Qianyu He\",\"doi\":\"10.1109/IAI53119.2021.9619388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"a preprocessing method is proposed for welding electrical signals based on Variational Mode Decomposition (VMD) and Hilbert marginal spectrum. This method solves the problem of poor quality of welding electric signal caused by multifactor interference, especially high frequency interference of inverted power source. In this paper, an acquisition system of the electrical signals of ultra-narrow gap welding was constructed to obtain the electrical signals of welding arc and resistance box load. Based on analyzing the signal characteristics, the signals were decomposed by VMD, and then Hilbert marginal spectrum was used for comparative analysis to filter out the interference noise and realize the preprocessing of welding electrical signal. The results show the proposed method can effectively eliminate the noise while retaining the valuable high-frequency components in the signal, which improves the authenticity of the signal.\",\"PeriodicalId\":106675,\"journal\":{\"name\":\"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAI53119.2021.9619388\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI53119.2021.9619388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A preprocessing method of welding electrical signal
a preprocessing method is proposed for welding electrical signals based on Variational Mode Decomposition (VMD) and Hilbert marginal spectrum. This method solves the problem of poor quality of welding electric signal caused by multifactor interference, especially high frequency interference of inverted power source. In this paper, an acquisition system of the electrical signals of ultra-narrow gap welding was constructed to obtain the electrical signals of welding arc and resistance box load. Based on analyzing the signal characteristics, the signals were decomposed by VMD, and then Hilbert marginal spectrum was used for comparative analysis to filter out the interference noise and realize the preprocessing of welding electrical signal. The results show the proposed method can effectively eliminate the noise while retaining the valuable high-frequency components in the signal, which improves the authenticity of the signal.