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Industrial Process Modelling with Mechanical Frequency Spectrum Data

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Title: Industrial Process Modelling with Mechanical Frequency Spectrum Data
Description: Different industries use data analytics and the process modelling technique successfully in a variety of ways. These popular intelligent approaches improve the quality and quantity of production. This book focuses on the technique of soft-sensing based on spectral data with multi-source high-dimensional mechanical frequency in order to assess difficult-to-measure process parameters. The book will be of interest to researchers and professors working in data analytics, engineers and technicians who need a modelling method based on small sample data, and PhD students who need to solve modelling and control challenges in a practical way.
Authors: Jian Tang, Author, Wen Yu, Author
Resource Type: eBook.
Subjects: Signal processing, Frequency spectra, Manufacturing processes--Mathematical models
Categories: BUSINESS & ECONOMICS / Industries / Computers & Information Technology, COMPUTERS / Data Science / Data Analytics
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2601171
RelevancyScore: 1097
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1096.64697265625
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  Data: Industrial Process Modelling with Mechanical Frequency Spectrum Data
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Different industries use data analytics and the process modelling technique successfully in a variety of ways. These popular intelligent approaches improve the quality and quantity of production. This book focuses on the technique of soft-sensing based on spectral data with multi-source high-dimensional mechanical frequency in order to assess difficult-to-measure process parameters. The book will be of interest to researchers and professors working in data analytics, engineers and technicians who need a modelling method based on small sample data, and PhD students who need to solve modelling and control challenges in a practical way.
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Jian+Tang%2C+Author%22">Jian Tang, Author</searchLink><br /><searchLink fieldCode="AR" term="%22Wen+Yu%2C+Author%22">Wen Yu, Author</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency+spectra%22">Frequency spectra</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+processes--Mathematical+models%22">Manufacturing processes--Mathematical models</searchLink>
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  Data: <searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Industries+%2F+Computers+%26+Information+Technology%22">BUSINESS & ECONOMICS / Industries / Computers & Information Technology</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Analytics%22">COMPUTERS / Data Science / Data Analytics</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 621.38223
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Signal processing
        Type: general
      – SubjectFull: Frequency spectra
        Type: general
      – SubjectFull: Manufacturing processes--Mathematical models
        Type: general
    Titles:
      – TitleFull: Industrial Process Modelling with Mechanical Frequency Spectrum Data
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jian Tang, Author
      – PersonEntity:
          Name:
            NameFull: Wen Yu, Author
      – PersonEntity:
          Name:
            NameFull: Jian Tang, Author
      – PersonEntity:
          Name:
            NameFull: Wen Yu, Author
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
            – D: 01
              M: 12
              Type: profile
              Y: 2020
          Identifiers:
            – Type: isbn-print
              Value: 9781527548664
            – Type: isbn-electronic
              Value: 9781527558953
          Titles:
            – TitleFull: Industrial Process Modelling with Mechanical Frequency Spectrum Data
              Type: main
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