Chemometric Monitoring: Product Quality Assessment, Process Fault Detection, and Applications

Madhusree Kundu, Palash Kumar Kundu, Seshu K. Damarla

October 3, 2017 by CRC Press
Reference - 330 Pages - 73 Color & 34 B/W Illustrations
ISBN 9781138746213 - CAT# K32467

USD$104.95

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Features

Presents discussion of several modern and popular chemometric techniques

Introduces specific illustrative industrial applications using the chemometric techniques

Demonstrates several applications to beverage quality monitoring

Provides all the algorithms developed for the automated device design, data files, sources for biomedical signals and their pre-processing steps, and all the process models requited to simulate process normal/faulty data

Includes casestudy-based approach to the topics with MATLAB and SIMULINK source codes

Summary

Data collection, compression, storage, and interpretation have become mature technologies over the years. Extraction of meaningful information from the process historical database seems to be a natural and logical choice. In view of this, the proposed book aims to apply the data driven knowledge base in ensuring safe process operation through timely detection of process abnormal and normal operating conditions, assuring product quality and analyzing biomedical signal leading to diagnostic tools. The book poses an open invitation for an interface which is required henceforth, in practical implementation of the propositions and possibilities referred in the book. It poses a challenge to the researchers in academia towards the development of more sophisticated algorithms. The proposed book also incites applications in diversified areas.

Key Features:

  • Presents discussion of several modern and popular chemometric techniques
  • Introduces specific illustrative industrial applications using the chemometric techniques
  • Demonstrates several applications to beverage quality monitoring
  • Provides all the algorithms developed for the automated device design, data files, sources for biomedical signals and their pre-processing steps, and all the process models requited to simulate process normal/faulty data
  • Includes casestudy-based approach to the topics with MATLAB and SIMULINK source codes

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