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