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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Detalles Bibliográficos
Autor principal: Tang, Jian, 1974- (-)
Otros Autores: Yu, Wen
Formato: Libro electrónico
Idioma:Inglés
Publicado: Newcastle-upon-Tyne : Cambridge Scholars Publisher 2020.
Colección:EBSCO Academic eBook Collection Complete.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b47432755*spi
Descripción
Sumario: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.
Descripción Física:1 recurso electrónico
Formato:Forma de acceso: World Wide Web.
ISBN:9781527558953