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Soft Modeling in Industrial Manufacturing

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Soft Modeling in Industrial Manufacturing/ edited by Przemyslaw Grzegorzewski, Andrzej Kochanski, Janusz Kacprzyk.
other author:	Grzegorzewski, Przemyslaw.
Description:	X, 196 p. 90 illus., 33 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-03201-2
ISBN:	9783030032012

Soft Modeling in Industrial Manufacturing
Soft Modeling in Industrial Manufacturing[electronic resource] /edited by Przemyslaw Grzegorzewski, Andrzej Kochanski, Janusz Kacprzyk. - 1st ed. 2019. - X, 196 p. 90 illus., 33 illus. in color.online resource. - Studies in Systems, Decision and Control,1832198-4182 ;. - Studies in Systems, Decision and Control,27.

Data and modeling in industrial manufacturing -- From data to reasoning -- Data preprocessing in industrial manufacturing -- Tool condition monitoring in metal cutting -- Assessment of selected tools used for knowledge extraction in industrial manufacturing -- Application of data mining tools in shrink sleeve labels converting process -- Study of thickness variability of the ﬂoorboard surface layer -- Applying statistical methods with imprecise data to quality control in cheese manufacturing -- Monitoring series of dependent observations using the sXWAM control chart for residuals -- Diagnosis of out-of-control signals in complex manufacturing processes.

This book discusses the problems of complexity in industrial data, including the problems of data sources, causes and types of data uncertainty, and methods of data preparation for further reasoning in engineering practice. Each data source has its own specificity, and a characteristic property of industrial data is its high degree of uncertainty. The book also explores a wide spectrum of soft modeling methods with illustrations pertaining to specific cases from diverse industrial processes. In soft modeling the physical nature of phenomena may not be known and may not be taken into consideration. Soft models usually employ simplified mathematical equations derived directly from the data obtained as observations or measurements of the given system. Although soft models may not explain the nature of the phenomenon or system under study, they usually point to its significant features or properties.

ISBN: 9783030032012

Standard No.: 10.1007/978-3-030-03201-2doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Soft Modeling in Industrial Manufacturing
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