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Soft modeling in industrial manufact...

Grzegorzewski, Przemyslaw.

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Soft modeling in industrial manufacturing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Soft modeling in industrial manufacturing/ edited by Przemyslaw Grzegorzewski, Andrzej Kochanski, Janusz Kacprzyk.
other author:	Grzegorzewski, Przemyslaw.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	x, 196 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Manufacturing processes - Mathematical models. -
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. - Cham :Springer International Publishing :2019. - x, 196 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1832198-4182 ;. - Studies in systems, decision and control ;v.183..

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:

920932
Manufacturing processes
--Mathematical models.

LC Class. No.: TS183 / .S64 2019

Dewey Class. No.: 670.427

Soft modeling in industrial manufacturing
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245 0 0 $a Soft modeling in industrial manufacturing $h [electronic resource] / $c edited by Przemyslaw Grzegorzewski, Andrzej Kochanski, Janusz Kacprzyk.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a x, 196 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.183
505 0 $a 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.
520 $a 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.
650 0 $a Manufacturing processes $x Mathematical models. $3 920932
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Engineering Mathematics. $3 3301900
650 2 4 $a Industrial and Production Engineering. $3 891024
700 1 $a Grzegorzewski, Przemyslaw. $3 2132973
700 1 $a Kochanski, Andrzej. $3 3383319
700 1 $a Kacprzyk, Janusz. $3 572477
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in systems, decision and control ; $v v.183. $3 3383320
856 4 0 $u https://doi.org/10.1007/978-3-030-03201-2
950 $a Intelligent Technologies and Robotics (Springer-42732)