Skip to main content
SpringerLink
Log in

Soft Modeling in Industrial Manufacturing

  • Book
  • © 2019

Overview

Editors:
  1. Przemyslaw Grzegorzewski

    1. Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Andrzej Kochanski

    1. Faculty of Production Engineering, Institute of Manufacturing Technologies, Warsaw University of Technology, Warsaw, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Janusz Kacprzyk

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Discusses the problems of industrial data and it overall complexity, as well as methods of dealing with preparing this type of data for reasoning in the engineering practice
  • Presents a wide spectrum of soft modeling methods, with illustrations pertaining to specific cases, coming from diverse kinds of industrial processes
  • Includes recent research in soft modeling in industrial manufacturing
  • Offers a variety of applications and diverse methodologies relating to with a wide range of soft modeling methods
  • Provides an analysis of a specific practical problem in each chapter, in addition to a detailed discussion of the proposed modeling method

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 183)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Theory

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Data and Modeling in Industrial Manufacturing

      • Przemyslaw Grzegorzewski, Andrzej Kochanski
      Pages 3-13

    3. From Data to Reasoning

      • Przemyslaw Grzegorzewski, Andrzej Kochanski
      Pages 15-25

    4. Data Preprocessing in Industrial Manufacturing

      • Przemyslaw Grzegorzewski, Andrzej Kochanski
      Pages 27-41

  3. Applications

    1. Front Matter

      Pages 43-43
      Download chapter PDF

    2. Tool Condition Monitoring in Metal Cutting

      • Krzysztof Jemielniak
      Pages 45-74

    3. Assessment of Selected Tools Used for Knowledge Extraction in Industrial Manufacturing

      • Marcin Perzyk, Artur Soroczynski
      Pages 75-88

    4. Application of Data Mining Tools in Shrink Sleeve Labels Converting Process

      • Krzysztof Krystosiak
      Pages 89-106

    5. Study of Thickness Variability of the Floorboard Surface Layer

      • Agnieszka Kujawińska, Michał Rogalewicz, Magdalena Diering, Krzysztof Żywicki, Adam Hamrol
      Pages 107-125

    6. Applying Statistical Methods with Imprecise Data to Quality Control in Cheese Manufacturing

      • Ana Belén Ramos-Guajardo, Ángela Blanco-Fernández, Gil González-Rodríguez
      Pages 127-147

    7. Monitoring Series of Dependent Observations Using the sXWAM Control Chart for Residuals

      • Olgierd Hryniewicz, Katarzyna Kaczmarek-Majer
      Pages 149-170

    8. Diagnosis of Out-of-Control Signals in Complex Manufacturing Processes

      • Marcin Perzyk, Jacek Kozlowski, Agnieszka Rodziewicz
      Pages 171-196
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland

    Przemyslaw Grzegorzewski

  • Faculty of Production Engineering, Institute of Manufacturing Technologies, Warsaw University of Technology, Warsaw, Poland

    Andrzej Kochanski

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation