基于特征融合和流模型的无监督设备异常声音检测.

Saved in:
Bibliographic Details
Title: 基于特征融合和流模型的无监督设备异常声音检测.
Alternate Title: Unsupervised Device Abnormal Sound Detection Based on Feature Fusion and Flow-Based Model.
Authors: 王亚威1, 张巧灵1 qlzhang@zstu.com
Source: Electronic Science & Technology. 2025, Vol. 38 Issue 11, p87-95. 9p.
Database: Academic Search Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 189487365
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: 基于特征融合和流模型的无监督设备异常声音检测.
– Name: TitleAlt
  Label: Alternate Title
  Group: TiAlt
  Data: Unsupervised Device Abnormal Sound Detection Based on Feature Fusion and Flow-Based Model.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22王亚威%22">王亚威</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22张巧灵%22">张巧灵</searchLink><relatesTo>1</relatesTo><i> qlzhang@zstu.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Electronic+Science+%26+Technology%22">Electronic Science & Technology</searchLink>. 2025, Vol. 38 Issue 11, p87-95. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189487365
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.16180/j.cnki.issn1007-7820.2025.11.011
    Languages:
      – Code: chi
        Text: Chinese
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 87
    Titles:
      – TitleFull: 基于特征融合和流模型的无监督设备异常声音检测.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: 王亚威
      – PersonEntity:
          Name:
            NameFull: 张巧灵
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 10077820
          Numbering:
            – Type: volume
              Value: 38
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Electronic Science & Technology
              Type: main
ResultId 1