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Error analysis and correction of multi-sensor cluster methods for acoustic emission source localization.

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Bibliographic Details
Title: Error analysis and correction of multi-sensor cluster methods for acoustic emission source localization.
Authors: Xue, Chuanrong1, Xu, Gang1, postxg@163.com, Wang, Xinke1, Gao, Jiacheng1, Gao, Dejun1, gdjsd@163.com
Source: Ultrasonics; Aug2021, Vol. 115, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 150814682
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Error analysis and correction of multi-sensor cluster methods for acoustic emission source localization.
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  Data: <searchLink fieldCode="AU" term="%22Xue%2C+Chuanrong%22">Xue, Chuanrong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Xu%2C+Gang%22">Xu, Gang</searchLink><relatesTo>1</relatesTo>, <i>postxg@163.com</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Xinke%22">Wang, Xinke</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Gao%2C+Jiacheng%22">Gao, Jiacheng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Gao%2C+Dejun%22">Gao, Dejun</searchLink><relatesTo>1</relatesTo>, <i>gdjsd@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Ultrasonics%22">Ultrasonics</searchLink>; Aug2021, Vol. 115, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=150814682
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.ultras.2021.106438
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Error analysis and correction of multi-sensor cluster methods for acoustic emission source localization.
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            NameFull: Xue, Chuanrong
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            NameFull: Wang, Xinke
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            – D: 01
              M: 08
              Text: Aug2021
              Type: published
              Y: 2021
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              Value: 115
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