Soft Modeling in Industrial Manufacturing

• Corporate Author: SpringerLink (Online service)
• Other Authors: Grzegorzewski, Przemyslaw (Editor, http://id.loc.gov/vocabulary/relators/edt), Kochanski, Andrzej (Editor, http://id.loc.gov/vocabulary/relators/edt), Kacprzyk, Janusz (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Systems, Decision and Control, 183
• Subjects: Computational intelligence.; Engineering mathematics.; Industrial engineering.; Production engineering.; Computational Intelligence.; Engineering Mathematics.; Industrial and Production Engineering.

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 i...

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.