Industrial Process Modelling with Mechanical Frequency Spectrum Data.

Saved in:
Bibliographic Details
Author / Creator:Tang, Jian, 1974-
Imprint:Newcastle-upon-Tyne : Cambridge Scholars Publisher, 2020.
Description:1 online resource (511 p.)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13563618
Hidden Bibliographic Details
Other authors / contributors:Yu, Wen.
ISBN:1527558959
9781527558953
152754866X
9781527548664
Notes:Description based upon print version of record.
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.
Other form:Print version: Tang, Jian Industrial Process Modelling with Mechanical Frequency Spectrum Data Newcastle-upon-Tyne : Cambridge Scholars Publisher,c2020 9781527548664