Industrial Process Modelling with Mechanical Frequency Spectrum 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-dimensi...
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| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Newcastle-upon-Tyne :
Cambridge Scholars Publisher,
2020.
|
| Subjects: | |
| Online Access: | Volltext |
| Summary: | 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 a. |
| Item Description: | Description based upon print version of record. |
| Physical Description: | 1 online resource (511 p.) |
| ISBN: | 1527558959 9781527558953 |
Staff View
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| 245 | 1 | 0 | |a Industrial Process Modelling with Mechanical Frequency Spectrum Data |h [electronic resource]. |
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| 505 | 0 | |a Intro -- Contents -- Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 | |
| 520 | |a 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 a. | ||
| 650 | 0 | |a Signal processing. |0 http://id.loc.gov/authorities/subjects/sh85122397 | |
| 650 | 0 | |a Frequency spectra. |0 http://id.loc.gov/authorities/subjects/sh85051933 | |
| 650 | 0 | |a Manufacturing processes |x Mathematical models. | |
| 650 | 6 | |a Traitement du signal. | |
| 650 | 6 | |a Spectre de fréquences. | |
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| 650 | 7 | |a Manufacturing processes |x Mathematical models |2 fast | |
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| 700 | 1 | |a Yu, Wen. | |
| 758 | |i has work: |a Industrial process modelling with mechanical frequency spectrum data (Text) |1 https://id.oclc.org/worldcat/entity/E39PCG7YQfxyqFvxVm3m6MB7H3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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| author | Tang, Jian, 1974- |
| author2 | Yu, Wen |
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| contents | Intro -- Contents -- Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 |
| ctrlnum | (OCoLC)1195453953 |
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| id | ZDB-4-EBA-on1195453953 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:30:03Z |
| institution | BVB |
| isbn | 1527558959 9781527558953 |
| language | English |
| oclc_num | 1195453953 |
| open_access_boolean | |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (511 p.) |
| psigel | ZDB-4-EBA |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Cambridge Scholars Publisher, |
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| spelling | Tang, Jian, 1974- https://id.oclc.org/worldcat/entity/E39PCjy6BxDktHw6RhDbX66P6X http://id.loc.gov/authorities/names/no2021036364 Industrial Process Modelling with Mechanical Frequency Spectrum Data [electronic resource]. Newcastle-upon-Tyne : Cambridge Scholars Publisher, 2020. 1 online resource (511 p.) text rdacontent computer rdamedia online resource rdacarrier Description based upon print version of record. Intro -- Contents -- Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 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 a. Signal processing. http://id.loc.gov/authorities/subjects/sh85122397 Frequency spectra. http://id.loc.gov/authorities/subjects/sh85051933 Manufacturing processes Mathematical models. Traitement du signal. Spectre de fréquences. Fabrication Modèles mathématiques. Industry & industrial studies. bicssc Artificial intelligence. bicssc Machine learning. bicssc Frequency spectra fast Manufacturing processes Mathematical models fast Signal processing fast Yu, Wen. has work: Industrial process modelling with mechanical frequency spectrum data (Text) https://id.oclc.org/worldcat/entity/E39PCG7YQfxyqFvxVm3m6MB7H3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Tang, Jian Industrial Process Modelling with Mechanical Frequency Spectrum Data Newcastle-upon-Tyne : Cambridge Scholars Publisher,c2020 9781527548664 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2601171 Volltext |
| spellingShingle | Tang, Jian, 1974- Industrial Process Modelling with Mechanical Frequency Spectrum Data Intro -- Contents -- Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 Signal processing. http://id.loc.gov/authorities/subjects/sh85122397 Frequency spectra. http://id.loc.gov/authorities/subjects/sh85051933 Manufacturing processes Mathematical models. Traitement du signal. Spectre de fréquences. Fabrication Modèles mathématiques. Industry & industrial studies. bicssc Artificial intelligence. bicssc Machine learning. bicssc Frequency spectra fast Manufacturing processes Mathematical models fast Signal processing fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85122397 http://id.loc.gov/authorities/subjects/sh85051933 |
| title | Industrial Process Modelling with Mechanical Frequency Spectrum Data |
| title_auth | Industrial Process Modelling with Mechanical Frequency Spectrum Data |
| title_exact_search | Industrial Process Modelling with Mechanical Frequency Spectrum Data |
| title_full | Industrial Process Modelling with Mechanical Frequency Spectrum Data [electronic resource]. |
| title_fullStr | Industrial Process Modelling with Mechanical Frequency Spectrum Data [electronic resource]. |
| title_full_unstemmed | Industrial Process Modelling with Mechanical Frequency Spectrum Data [electronic resource]. |
| title_short | Industrial Process Modelling with Mechanical Frequency Spectrum Data |
| title_sort | industrial process modelling with mechanical frequency spectrum data |
| topic | Signal processing. http://id.loc.gov/authorities/subjects/sh85122397 Frequency spectra. http://id.loc.gov/authorities/subjects/sh85051933 Manufacturing processes Mathematical models. Traitement du signal. Spectre de fréquences. Fabrication Modèles mathématiques. Industry & industrial studies. bicssc Artificial intelligence. bicssc Machine learning. bicssc Frequency spectra fast Manufacturing processes Mathematical models fast Signal processing fast |
| topic_facet | Signal processing. Frequency spectra. Manufacturing processes Mathematical models. Traitement du signal. Spectre de fréquences. Fabrication Modèles mathématiques. Industry & industrial studies. Artificial intelligence. Machine learning. Frequency spectra Manufacturing processes Mathematical models Signal processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2601171 |
| work_keys_str_mv | AT tangjian industrialprocessmodellingwithmechanicalfrequencyspectrumdata AT yuwen industrialprocessmodellingwithmechanicalfrequencyspectrumdata |