Overview

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.

Full Product Details

Author:   Przemyslaw Grzegorzewski ,  Andrzej Kochanski ,  Janusz Kacprzyk
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   183
Weight:   0.483kg
ISBN:  

9783030032005

ISBN 10:   3030032000
Pages:   196
Publication Date:   31 January 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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