Industrial Process Modelling with Mechanical Frequency Spectrum Data

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Bibliographic Details
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)
Description
Abstract: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.
ISBN:9781527548664
9781527558953