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(Ebook) Chemometric Monitoring: Product Quality Assessment, Process Fault Detection, and Applications by Madhusree Kundu, Palash Kumar Kundu, Seshu K. Damarla ISBN 9781498780070, 1498780075

  • SKU: EBN-6815800
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Instant download (eBook) Chemometric Monitoring: Product Quality Assessment, Process Fault Detection, and Applications after payment.
Authors:Madhusree Kundu, Palash Kumar Kundu, Seshu K. Damarla
Pages:358 pages.
Year:2017
Editon:1
Publisher:CRC Press
Language:english
File Size:4.6 MB
Format:pdf
ISBNS:9781498780070, 1498780075
Categories: Ebooks

Product desciption

(Ebook) Chemometric Monitoring: Product Quality Assessment, Process Fault Detection, and Applications by Madhusree Kundu, Palash Kumar Kundu, Seshu K. Damarla ISBN 9781498780070, 1498780075

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 techniquesIntroduces specific illustrative industrial applications using the chemometric techniquesDemonstrates several applications to beverage quality monitoringProvides 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 dataIncludes casestudy-based approach to the topics with MATLAB and SIMULINK source codes
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